{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "960ceacb-3c3f-484c-95b9-172bd009b1a4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a generic code for drawing a state's Home Districts for neutral map estimation\n",
      "In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\n"
     ]
    }
   ],
   "source": [
    "#  THIS IS THE PRIMARY VERSION TO USE FOR ALL STATES  #from TN 5/12/24\n",
    "print(\"This is a generic code for drawing a state's Home Districts for neutral map estimation\") #Jan'24\n",
    "print(\"In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\")\n",
    "import shapely\n",
    "from shapely.geometry import Point, LineString, Polygon\n",
    "from shapely.ops import nearest_points, transform\n",
    "from shapely.affinity import translate, scale\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from numpy import random\n",
    "from scipy.stats import norm\n",
    "from scipy.optimize import minimize, minimize_scalar\n",
    "import math\n",
    "import time\n",
    "import ast\n",
    "# from HDmethods import *   #I want to implement this, but my HDmethods require shapely functions\n",
    "# see https://stackoverflow.com/questions/66877728/proper-way-to-use-import-when-calling-external-function for a future workaround\n",
    "\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "#handy function for plotting Polygon or multiPolygon tracts and precincts\n",
    "def plotPoly(inputPoly,LW=1):\n",
    "    dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "    if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "        x,y = inputPoly.exterior.xy\n",
    "        plt.plot(x,y,lw=LW)\n",
    "    else:\n",
    "        for geom in inputPoly.geoms:\n",
    "            if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.plot(x,y,lw=LW)  \n",
    "def plotCenter(t,geom,FONTSIZE=10):\n",
    "    plt.text(geom.centroid.x,geom.centroid.y,t,ha='center',fontsize=FONTSIZE)\n",
    "    \n",
    "def r3(number):\n",
    "    result = round(number,3)\n",
    "    return result\n",
    "\n",
    "def r5(number):\n",
    "    result = round(number,5)\n",
    "    return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2ab4a3d5-f4e7-4aec-b81c-0e786cd35b57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def getWeightedAvgAndSD(LIST, WEIGHTS):  #from IN\n",
    "    nWeights = len(WEIGHTS)\n",
    "    normWeights = [WEIGHTS[i] / np.sum(WEIGHTS) for i in range(nWeights) ]\n",
    "    AVG = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        AVG += normWeights[i] * value\n",
    "    sumVar = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        sumVar += normWeights[i] * (value - AVG)**2\n",
    "    SD = sumVar ** 0.5     #don't need to normalize again since weights were normalized\n",
    "    return AVG, SD\n",
    "\n",
    "def squish(shapeList, cutLINE, farLINE, newFarLINE):\n",
    "    \"\"\"\n",
    "    This method compresses a list of shapes lying between the cutLINE and the farLINE)\n",
    "    such that the Polygons now lie between the cutLINE and the newFarLINE, which is closer to the cutLINE\n",
    "    Used to compress state outcroppings into a more compact state representation.\n",
    "     (I tried doing this point by point (see #'s), but this overdistorted geometries.)\n",
    "      (#This was a manual alternative to shapely.affinity.scale and .translate operations)\n",
    "       So instead, we run this AFTER established untransformed map topology, and \n",
    "        we simply scale and translate each unit.  This loses true connectivity.\n",
    "        Scaling is all lengths scale by compression of distance\n",
    "    The cut, far, and newFar LineString segments are preferably parallel\n",
    "    The method returns the modified shapes of all pollys\n",
    "    \"\"\"\n",
    "    if cutLINE.intersects(farLINE) or cutLINE.intersects(newFarLINE):\n",
    "        print(\"cutLine,farLine, newFarLine were\",cutLINE, farLINE, newFarLINE)\n",
    "        raise Exception(\"ERROR: the proposed cutLine intersects the current or proposed far line\")\n",
    "    newPollys = list()\n",
    "    for polly in shapeList:\n",
    "        pollyCP = polly.centroid\n",
    "        cutPt =     nearest_points(cutLINE,   pollyCP)[0]\n",
    "        farPt =     nearest_points(farLINE,   pollyCP)[0]\n",
    "        newFarPt =  nearest_points(newFarLINE,pollyCP)[0]\n",
    "        curr_cutX, curr_cutY =            pollyCP.x - cutPt.x, pollyCP.y -  cutPt.y\n",
    "        currFar_CutX , currFar_CutY  =    farPt.x - cutPt.x, farPt.y   -  cutPt.y\n",
    "        new_currFarX, new_currFarY =      newFarPt.x - farPt.x, newFarPt.y - farPt.y\n",
    "        newFar_CutX,  newFar_CutY =       newFarPt.x - cutPt.x, newFarPt.y   -  cutPt.y\n",
    "        distanceRatio = newFarPt.distance(cutPt)/farPt.distance(cutPt) #scale area ^length^2\n",
    "        XOFF,YOFF = 0., 0.\n",
    "        XFACT, YFACT = 1., 1.  #default = no stretch\n",
    "        # basic equation: (new-cut)/(curr-cut) = (newFar-cut)/(currFar - cut)\n",
    "        #  or: (new-curr)  = (curr-cut)*(newFar-currFar)/(currFar - cut)   # -1 to both sides\n",
    "        if currFar_CutX != 0:\n",
    "            XOFF =  curr_cutX * new_currFarX / currFar_CutX\n",
    "            XFACT =              newFar_CutX / currFar_CutX\n",
    "        if currFar_CutY != 0:\n",
    "            YOFF =  curr_cutY * new_currFarY / currFar_CutY\n",
    "            YFACT =              newFar_CutY / currFar_CutY\n",
    "        newPolly = translate(polly,xoff=XOFF,yoff=YOFF)\n",
    "        newPolly = scale(newPolly, xfact=XFACT, yfact=YFACT, origin='centroid')\n",
    "        newPollys.append( newPolly )       \n",
    "    return newPollys\n",
    "\n",
    "def getHDcp(TRACTCP,TRACTPOP, TRACTLIST, SPLITTRACTNO = -777,SPLITTRACTUSE = 1.):  #population centerpoint of a Home District or county (cluster)\n",
    "    cpx, cpy, sumPop = 0.,0., 0.\n",
    "    for tt in TRACTLIST:\n",
    "        USE = 1.\n",
    "        if tt ==    SPLITTRACTNO:\n",
    "            USE =   SPLITTRACTUSE\n",
    "        sumPop += USE*TRACTPOP[tt]\n",
    "        cpx +=    USE*TRACTPOP[tt] * TRACTCP[tt].x\n",
    "        cpy +=    USE*TRACTPOP[tt] * TRACTCP[tt].y\n",
    "    HDCP_ = Point(cpx/sumPop, cpy/sumPop)\n",
    "    return HDCP_\n",
    "\n",
    "#  The below four methods are TO SNAP to HD SHAPES without any solving / iteration\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    The optional xScale parameter is the ratio of longitude to latitude lengths scales (<<1 for far from equator)\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def buildPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a 4-tri polygon from four HD wedges emanating from the centerpoint\n",
    "    Pt = [Point(0,0)]*12                      #xScale has same meaning as in buildWedge\n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW]  #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ]  \n",
    "        Pt[nW*2] =   Point(CP.x + RADII[nW]/XSCALE*math.cos(ccwAngle), CP.y + RADII[nW]*math.sin(ccwAngle) )\n",
    "        Pt[nW*2+1] = Point(CP.x + RADII[nW]/XSCALE*math.cos( cwAngle), CP.y + RADII[nW]*math.sin( cwAngle) )        \n",
    "    POLLY = Polygon([Pt[0],Pt[1],Pt[2],Pt[3],Pt[4],Pt[5],Pt[6],Pt[7] ])\n",
    "    return POLLY\n",
    "\n",
    "def buildArcPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a fuller polygon from four HD wedges emanating from the centerpoint\n",
    "    twoPi = 2. * 3.1415926   #xScale has same meaning as in buildWedge\n",
    "    POINTS = list()                   \n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW] % twoPi                 #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ] % twoPi \n",
    "        midAngle = [0.75*ccwAngle + 0.25*cwAngle , 0.25*ccwAngle + 0.75*cwAngle ]  #avoid s sampling cone center for wide angles\n",
    "        if abs (ccwAngle - cwAngle) > 3.1415926 :  #angles straddle angle=0\n",
    "            midAngle = [0.75*(ccwAngle - twoPi) + 0.25*cwAngle , 0.25*(ccwAngle -twoPi) + 0.75*cwAngle ]\n",
    "        angList = [ccwAngle] + midAngle + [cwAngle]\n",
    "        for ang in angList:\n",
    "            POINTS.append(Point(CP.x + RADII[nW]/XSCALE*math.cos(ang), CP.y + RADII[nW]*math.sin(ang) ) )\n",
    "                          \n",
    "    POLLY = Polygon(POINTS)\n",
    "    return POLLY\n",
    "\n",
    "def getPolyPop(POLLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points contained by a polygon\n",
    "    WPOP, WLIST = 0., list()\n",
    "    for tt in CANDIDATELIST:\n",
    "        if POLLY.contains(TRACTCP[tt]):\n",
    "            WPOP += TRACTPOP[tt]\n",
    "            WLIST.append(tt)\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonCPP(POLLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county in getPolyPop\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if POLLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonHCunits(POLLY, HC, UNITLIST, UNITCP, UNITPOP, ALLFUSEDCOUNTIES, AREAFRAC, COUNTYGEOM, \n",
    "                  NEIGHBORCOUNTYLIST, COUNTYUNITLIST):\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"unit counties\" are added as whole units if a sufficient area fraction is captured.  For non-unitCs, we probe each component vtd / tract\n",
    "    \"\"\"\n",
    "    UPOP, ULIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county before we called this method\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        #1/9/24 - DO WE NEED TO MODIFY THE ORDER BELOW TO AVOID CREATING HOLES AND ENCLAVES ??  #\n",
    "        \n",
    "        for c in latestClist:\n",
    "            for cc in list( set(NEIGHBORCOUNTYLIST[c]).difference(set(ALLFUSEDCOUNTIES)) ):\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        if cc+0.5 in UNITLIST:\n",
    "                            if POLLY.intersection(COUNTYGEOM[cc]).area >=  AREAFRAC[cc] * COUNTYGEOM[cc].area :\n",
    "                                intersectedClist.append(cc)   #for unit counties, intersections count only if they capture sufficient area\n",
    "                                newClist.append(cc)\n",
    "                                UPOP += UNITPOP[UNITLIST.index(cc+0.5)]\n",
    "                                ULIST.append( UNITLIST.index(cc+0.5) )\n",
    "                        else:                           \n",
    "                            intersectedClist.append(cc)\n",
    "                            newClist.append(cc)\n",
    "                            if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                                unitsToAdd = COUNTYUNITLIST[cc]\n",
    "                                UPOP += np.sum(  [ UNITPOP[uu] for uu in unitsToAdd ]  )\n",
    "                                ULIST += unitsToAdd\n",
    "                            else:\n",
    "                                for uu in COUNTYUNITLIST[cc]:\n",
    "                                    if POLLY.contains(UNITCP[uu]):\n",
    "                                        UPOP += UNITPOP[uu]\n",
    "                                        ULIST.append(uu)\n",
    "        latestClist = newClist.copy()\n",
    "        \n",
    "    return UPOP, ULIST\n",
    "\n",
    "def clusterSwell(CP_, CCBgeom, CCBpop, allUnits, unitCP, unitPop, unitNbrs, borderUnits, TGTPOP):\n",
    "    \"\"\"\n",
    "    This method grows a Home District by \"swelling\" from a corner county cluster.  First, we add the full cluster,\n",
    "     then we add closest neighbor units to the home district centerpoint CP_ until we reach the TGTPOP\n",
    "     new for MN 4/7/24 - don't enforce contiguity here -- too slow -- fix in cleanup stage instead\n",
    "     \"\"\"\n",
    "    hd_CCBdist = [CP_.distance(geo) for geo in CCBgeom]\n",
    "    CCBno = hd_CCBdist.index(np.min(hd_CCBdist))  #ID's the closest cluster to this HD center.  Should contain the HD, but rarely will not\n",
    "    unitNo = allUnits.index(CCBno+0.25)\n",
    "    newList, prevList, addedList, addedPop = [unitNo], [unitNo], [unitNo], unitPop[unitNo]  #seed with the cluster pop and unit\n",
    "    while addedPop < 0.99 * TGTPOP and len(newList) > 0:\n",
    "        tryList = getAdjoiners(addedList,unitNbrs)\n",
    "        tryDist = [ CP_.distance(unitCP[UU]) for UU in tryList ]\n",
    "        idx = np.argsort(tryDist)\n",
    "        idxNo, newList = 0, list()\n",
    "        haveNotAdded = True\n",
    "        while idxNo < len(tryList) and haveNotAdded:\n",
    "            UU = tryList[idx[idxNo]]\n",
    "            if unitPop[UU] + addedPop < 1.01 * TGTPOP :  #and wontEnclave(UU, addedList, unitNbrs, borderUnits) :  #we'll post-fix contig'y\n",
    "                newList.append(UU)\n",
    "                addedList.append(UU)\n",
    "                addedPop += unitPop[UU]\n",
    "                haveNotAdded = False\n",
    "            idxNo +=1\n",
    "        prevList = newList.copy()\n",
    "        \n",
    "    return addedPop, addedList\n",
    "            \n",
    "def getFakeHC(HDPOLLY, HC, CCBlist, countyGeom, MAP) :\n",
    "    \"\"\"\n",
    "    This method is for setting a fake home county for counties in corner clusters, so that county neighbors can be found budding from the \"home county\"\n",
    "    We pick the county in the cluster closest to the map center and intersecting the HDpoly.  This will be an active county on the cluster boundary   \n",
    "    \"\"\"\n",
    "    MAPcenter = MAP.centroid\n",
    "    for L in CCBlist:\n",
    "        if HC in L:\n",
    "            distList, cList = list(), list()\n",
    "            for C in L:\n",
    "                if HDPOLLY.intersects(countyGeom[C]):\n",
    "                    distList.append(countyGeom[C].distance(MAPcenter))\n",
    "                    cList.append(C)\n",
    "    fakeHC = cList[distList.index(np.min(distList)) ]\n",
    "    return fakeHC\n",
    "\n",
    "def getLongDist(CP1, CP2, xScale = 1.0): #distance between two points with EW distance scaled down by latitude\n",
    "    #LAT = MAP.centroid.y\n",
    "    #xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "    dist = ( xScale*xScale * (CP1.x - CP2.x)*(CP1.x - CP2.x)  +  (CP1.y - CP2.y)*(CP1.y - CP2.y) ) **0.5 \n",
    "    return dist\n",
    "\n",
    "# THESE ARE THE METHODS USED IN SOLVING HD SHAPES\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def getCountyWP(T, WEDGEPOLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points in a wedge excluding a point\n",
    "        WPOP, WLIST = 0., list()\n",
    "        for tt in CANDIDATELIST:\n",
    "            if tt != T and WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                WPOP += TRACTPOP[tt]\n",
    "                WLIST.append(tt)\n",
    "        return WPOP, WLIST\n",
    "\n",
    "def getNonCWP(WEDGEPOLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by an infinite polygonal wedge for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def isIncludedA(STARTa, ENDa, TESTa): #determines if a test angle is between a start and end angle (True)\n",
    "    \"\"\"\n",
    "    The start angle must be less than the end angle when placed on the [0, 2 pi] interval  (ccw convention)\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    STARTa, ENDa, TESTa = STARTa % (2.*pi), ENDa % (2.*pi), TESTa % (2.*pi)  #place on the 2pi interval\n",
    "    isIncludedA = False\n",
    "    if STARTa  > ENDa :  #included angle straddles east\n",
    "        if   TESTa  >= STARTa or TESTa < ENDa :  #near-east between the two\n",
    "            isIncludedA = True\n",
    "    else:\n",
    "        if TESTa >= STARTa and TESTa < ENDa :  #normal case\n",
    "            isIncludedA = True\n",
    "    return isIncludedA\n",
    "\n",
    "def getNonCWP_c(STARTANGL, ENDANGL, HC, TRACTCP,TRACTPOP,COUNTYGEOM,COUNTYPOP,COUNTYTRACTLIST,\n",
    "                                    NEIGHBORCOUNTYLIST, UUDIST, UUANGLE, WEDGEPOLY) :\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a polygonal wedge for counties contiguous with the Home County (no hop-overs),\n",
    "    EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    Unlike its getNonCWP vanilla parent, this one uses angles rather than infinite wedges for units (still wedges for counties)\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if isIncludedA(STARTANGL, ENDANGL, UUANGLE[tt]): #WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getExitAngle(CP,WEDGEPOLY, MAP, A0, A1):\n",
    "    \"\"\"\n",
    "    This code determines the orientation angle from a CenterPoint to the intersection of a wedge with an exterior boundary\n",
    "    If an intersection is not found, we just take the average angle of the wedge start/stop angles A0, A1 as this orientation angle\n",
    "    MAP must be a single polygon for this to work in the revised code (tho could run thru all polygons in MAP if a multipolygon)\n",
    "    \"\"\"\n",
    "    EXITANGLE = 0.5* (A0 + A1) #this will be the angle from the x-axis to the exit beeline\n",
    "    if WEDGEPOLY.intersects(MAP.exterior):\n",
    "        edgeLine = WEDGEPOLY.intersection(MAP.exterior) #true state boundary line where wedge crossed it\n",
    "        closePoint = nearest_points(edgeLine,CP)[0]\n",
    "        dx = closePoint.x - CP.x       #this and below lines were indented in original code***\n",
    "        dy = closePoint.y - CP.y\n",
    "        EXITANGLE =  pi/2. * np.sign(dy)  #default in case dx=0\n",
    "        if (dx != 0. ):\n",
    "            EXITANGLE = math.atan(dy/dx) + random.uniform(-0.01,0.01) #add wiggle to avoid exact NESW orientation in gridded states\n",
    "            if dx < 0. :  #use complementary atan solution; boundary is west of tract centroid\n",
    "                EXITANGLE = pi + EXITANGLE\n",
    "    return EXITANGLE # this reorients 0th wedge to face boundary's closest point\n",
    "\n",
    "def getNewAngles(mWP, tWP, ADP, LEVEL_L, MINADJRATIO, MAXANGLE, MAXANGLERATIO, nUNFILLEDWEDGES): \n",
    "    \"\"\"\n",
    "    This method classifies Home Districts based on how their post-reoriented equi-angle max wedge pops stack up vs targets,\n",
    "     then changes wedge angles in some situations to pick up more population along the boundary\n",
    "    If there is one wedge that will fall short of a quarter district pop, then we adjust angles if it is sufficiently short    \n",
    "    (Using \"HD2\" code, the opposite wedge's pop will be constrained as well.)\n",
    "    If there are two opposite-facing constrained wedges, we do not adjust angles\n",
    "    If there are two adjacent constrained wedges, we classify as a corner (no angle change) if the adjacent wedge is sufficiently constrained,\n",
    "      otherwise we treat as a single constrained wedge\n",
    "    If there are three constrained wedges, the angles are unchanged; we use the 4th wedge to pick up all pop\n",
    "    If all four wedges are constrained, there is an error and we raise a flag.\n",
    "    mWP is the quadlist of maxWedgePops we would get by extending each wedge to the MAP boundary\n",
    "    tWP is the quadlist of targetWedgePops\n",
    "    LEVEL_L is the non-dimensional distance to the boundary at which we no longer adjust wedge angles to drive more near-boundary pop\n",
    "    MAXANGLERATIO is the max ratio of the wide angle (facing the boundary) to the normal angle (e.g. 90deg for four wedges) ...\n",
    "    but this is truncated near-boundary to MAXANGLE (e.g. 1.8 pi/2 instead of increasing all the way to 1.9 pi/2)\n",
    "      NOTE THAT this code does not consider nearly-shorted wedges -- those are a separate method called later if all mWP's > tWP's\n",
    "    \"\"\"   \n",
    "    isChange = False   #default; we are NOT changing angles\n",
    "    printDebuggg = False\n",
    "    NWEDGES = len(mWP)\n",
    "    avgWedgeAngle = 2.*math.pi / NWEDGES\n",
    "    minW = mWP.index(np.min(mWP))  #index of the wedge with the lowest max wedge pop\n",
    "    oppW = int( int(minW + NWEDGES/2) % NWEDGES )  #and its opposing wedge\n",
    "    Lstar = ( mWP[minW] / (0.25*ADP) )**0.5  #shortest wedge's nondim'l distance to boundary\n",
    "    \n",
    "    case = \"keep same wedge angles\" #default; no unfillable wedges or all but one are unfillable\n",
    "    if nUNFILLEDWEDGES >= NWEDGES:\n",
    "        raise Exception(\"ERROR! ALL WEDGES ARE CONSTRAINED for tract\",t,\".  IMPOSSIBLE!!\")\n",
    "    if nUNFILLEDWEDGES == 1:\n",
    "        case = \"constrain opp wedge\"\n",
    "        if Lstar >= levelL :\n",
    "            case = \"keep same wedge angles\"  #not close enough to boundary to distort HD shape\n",
    "    if nUNFILLEDWEDGES == 0 or nUNFILLEDWEDGES == NWEDGES - 1:  #far from boundary or with only one wedge w/large pop\n",
    "        case = \"keep same wedge angles\"   \n",
    "    if nUNFILLEDWEDGES == 2:  #must determine if opposite or adjacent           \n",
    "        if mWP[oppW] < tWP[oppW]:  #shorted wedges oppose each other, so ...\n",
    "            case = \"keep same wedge angles\" #...the HD shape will naturally widen to pick up adjacent pop\n",
    "        else:  #we have 2 adjacent (non-opposing) shorted wedges... but how shorted?  ID the adjacent wedge\n",
    "            for nW in range(NWEDGES):\n",
    "                if mWP[nW] < tWP[nW] and nW != minW :\n",
    "                    adjW = nW  #this is the adjacent wedge\n",
    "                    adjRatio = mWP[adjW] / tWP[adjW]\n",
    "            if adjRatio < minAdjRatio:  #we're close to a corner (this adjacentWedge is significantly constrained)\n",
    "                case = \"keep same wedge angles\"\n",
    "                if printDebuggg :\n",
    "                    print(\"Not adjusting wedge angles for tract\",t,\"as 2nd-sparsest wedge\",adjW,\"has pop\",mWP[adjW] )\n",
    "            else:\n",
    "                case = \"constrain opp wedge\"  #we will set the angles and target pops as if the adj wedge were not constrained\n",
    "    \n",
    "    if case == \"keep same wedge angles\":\n",
    "        isChange = False\n",
    "        WEDGEANGLE = [avgWedgeAngle for w in range(NWEDGES) ]\n",
    "\n",
    "    if case == \"constrain opp wedge\":  #Here, we modify wedge angles.  MWP's will be recalc'd outside the method\n",
    "        isChange = True  \n",
    "        wideAngle = min(MAXANGLE, avgWedgeAngle*max(  1,( 1.+(MAXANGLERATIO-1.)*(LEVEL_L - Lstar)/(LEVEL_L - 0.) )  ) )\n",
    "        WEDGEANGLE = [(2.*pi - 2. * wideAngle)/ (NWEDGES - 2.) for w in range(NWEDGES) ]  \n",
    "        WEDGEANGLE[minW] = wideAngle\n",
    "        WEDGEANGLE[oppW] = wideAngle\n",
    "    \n",
    "    return isChange, WEDGEANGLE\n",
    "\n",
    "def rebalanceTWPs(MWP, TWP, BARREDLIST=list()):\n",
    "    \"\"\"\n",
    "    This method iteratively increases targetWedgePops to accommodate wedges that have maxWedgePop < targetWedgePop.\n",
    "    The wedgePop gap is distributed equally among wedges that have some capacity and are not BARRED (e.g. an opposite wedge in HD2 method)\n",
    "     (If this pushes some wedges over capacity, this will be fixed in a later run through loop inside this method)\n",
    "    We also flag which wedges \"will fill\" = have sufficient capacity after the rebalancing of the targets to not use the entire maxWedgePoly\n",
    "    \"\"\"\n",
    "    DEBUGrTWP = False\n",
    "    NWEDGES = len(MWP)\n",
    "    unorderedCapacity = [MWP[w] - TWP[w] for w in range(NWEDGES) ]\n",
    "    idx = np.argsort(unorderedCapacity)\n",
    "    #for nn in range(NWEDGES):\n",
    "    #    print(MWP[idx[nn]])\n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        for nn in range(NWEDGES):\n",
    "            print(\"barred list, orig MWP, TWP\",BARREDLIST, r3(MWP[nn]),r3(TWP[nn]) )\n",
    "    \n",
    "    for nn in range(NWEDGES):  #going from least to most maxWedgePop here ...\n",
    "        nW = idx[nn]\n",
    "        if MWP[nW] < TWP[nW]: #need to redistribute extra target to higher-capacity wedges ...\n",
    "            wedgePopGap = TWP[nW] - MWP[nW]\n",
    "            TWP[nW] = MWP[nW]  #max out this wedge\n",
    "            nReceivers = 0.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....\n",
    "                    nReceivers += 1.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....                    \n",
    "                    TWP[WW] += wedgePopGap / nReceivers  #... so give it equal share of the gap, even if this goes over; we'll correct in later loop\n",
    "                    \n",
    "    WILLFILL = [1]*NWEDGES\n",
    "    for nW in range(NWEDGES):\n",
    "        if MWP[nW] < 1.001* TWP[nW]:  #required pop nearly or truly requires the entire wedge\n",
    "            WILLFILL[nW] = 0 \n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        print(\"adjusted TWP's are\",TWP)\n",
    "    return TWP, WILLFILL\n",
    "\n",
    "def solveWedge(nontractTWP,t, hC, STARTANGLE, ENDANGLE, MAXD, TOLERPOPS, tractCP, tractPop,\n",
    "               countyTractList, countyGeom, countyPop, neighborCountyLIST,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    #### NO LONGER USED; SEE FASTER SOLVEWEDGEB BASED ON UNIT-UNIT DISTANCES  *********\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop (which excludes the home tractPop)\n",
    "    The wedge has a fixed starting and ending angle.  Its maximum diameter is angle-related to max diameter of the state map\n",
    "    It uses bisection, NOT scipy minimize to minimize the square error in the wedge pop vs. target\n",
    "    The method passes back the final wedge pop and list of tracts in the wedge\n",
    "    \"\"\"\n",
    "    chgLoopNo, maxLoopNo = 10., 22.  #when we will start relaxing the pop tolerance, and when we give up\n",
    "    includedAngl = ENDANGLE - STARTANGLE\n",
    "    guessedR = MAXD / math.cos(0.5*includedAngl)  #max possible wedge radius, accounting for possible wide angle\n",
    "    popTol = TOLERPOPS[0]  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    #                      We loosen toward half the MAX tractPop if not converging\n",
    "    \n",
    "    offsetPop = 88888888.  #to force a reduction the first time through the loop\n",
    "    dr = guessedR\n",
    "    loopNo = 0\n",
    "    while abs(offsetPop) > popTol and loopNo < maxLoopNo:\n",
    "        loopNo +=1\n",
    "        popTol = max(TOLERPOPS[0], TOLERPOPS[0] + (TOLERPOPS[1] - TOLERPOPS[0]) * (loopNo - chgLoopNo) / (maxLoopNo - chgLoopNo) )\n",
    "        dr = 0.5*dr\n",
    "        guessedR -= dr*np.sign(offsetPop)\n",
    "        \n",
    "        guessedPoly = buildWedge(tractCP[t],STARTANGLE, ENDANGLE, guessedR,XSCALE) \n",
    "        iCP, iClist =  getCountyWP(t,guessedPoly, tractCP, tractPop, countyTractList[hC])\n",
    "        nonCP, nonClist = getNonCWP(guessedPoly, hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyLIST)\n",
    "        offsetPop = iCP + nonCP - nontractTWP\n",
    "        #print(t,loopNo,r5(guessedR),int(iCP),int(nonCP),r3(offsetPop+nontractTWP),r3(nontractTWP),\"t,loop,R,iCP,nonCP,pop,target\")\n",
    "        if loopNo >= maxLoopNo-1:\n",
    "            print(\"WARNING. Looped\",loopNo,\"times for t,angles,R\",t,r3(STARTANGLE),r3(ENDANGLE),r5(guessedR),\n",
    "                  \"wedgePop offset, target are\",int(offsetPop), int(nontractTWP) )    \n",
    "    finalPop = iCP + nonCP\n",
    "    finalList = iClist + nonClist\n",
    "    return finalPop, finalList, guessedR, loopNo\n",
    "\n",
    "#above = bisection.  Below solveWedgeB uses static unit-unit distances\n",
    "# Also tried scipy minimize, which doesn't seem any faster\n",
    "\n",
    "def solveWedgeB(nontractTWP,T, HC, POLLY, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that intersect,\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2x2 array\n",
    "    \"\"\"\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    \n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList = 0, 0, list()\n",
    "    notFull = True\n",
    "    while notFull :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist    \n",
    "\n",
    "def solveWedgeC(nontractTWP,T, HC, POLLY, STARTANGL, ENDANGL, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST, UUANGLE):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that\n",
    "    fall within the angle range (in lieu of wedgeB's check for intersection),\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2D array\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    STARTANGL, ENDANGL = STARTANGL % (2.*pi), ENDANGL % (2.*pi)\n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList, latestDist = 0, 0, list(), 0.00001  #dummy value\n",
    "    notFull = True\n",
    "    while notFull and i < len(UUDIST) - 2 :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if isIncludedA(STARTANGL, ENDANGL, UUANGLE[TT]) : #POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist \n",
    "\n",
    "\n",
    "def getPartialTract(t, HDTRACTLIST, offsetPop, UUDIST, tractPop, neighborLIST):\n",
    "    \"\"\"\n",
    "    If offsetPop is >0, this method identifies the tract with centroid farthest from Home t that can jettison at least offsetPop ...\n",
    "    ... by slicing out part of this tract.\n",
    "    If offsetPop <0, we ID a tract CLOSEST to Home t among neighbors of in-HD tracts to pick up a partial\n",
    "    We return the tractID and its new partial use\n",
    "    We have updated this method to pass the uuDist slice for tract t instead of computing tract distances inside here\n",
    "    \"\"\"\n",
    "    debugGPT = False\n",
    "    NTRACTS = len(tractCP)\n",
    "    bigDist = 9999999.\n",
    "    qualifyingTractList = list()\n",
    "    isWholeTract = False\n",
    "    if offsetPop > 0:\n",
    "        homeDist = [0.]*NTRACTS  #default = 0 to not get picked\n",
    "        for TT in HDTRACTLIST:\n",
    "            if tractPop[TT] > offsetPop:\n",
    "                qualifyingTractList.append(TT)\n",
    "        for TT in qualifyingTractList:\n",
    "            homeDist[TT] = UUDIST[TT]\n",
    "        if len(qualifyingTractList) == 0:  #very rare case where all in-HD tracts are too small.  Jettison nearly the whole farthest one\n",
    "            isWholeTract = True\n",
    "            for TT in HDTRACTLIST:\n",
    "                if tractPop[TT] > 0.9*np.average(tractPop): #set arbitrary min qualifying pop\n",
    "                    homeDist[TT] = UUDIST[TT]\n",
    "        targetT = homeDist.index(np.max(homeDist))\n",
    "        partialUseFrac = max(0.0001,(tractPop[targetT] - offsetPop)/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(\"positive offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    else: #pick up a partial\n",
    "        homeDist = [bigDist]*NTRACTS\n",
    "        for TT in HDTRACTLIST:\n",
    "            for TTT in neighborList[TT]:\n",
    "                if TTT not in qualifyingTractList and TTT not in HDTRACTLIST and tractPop[TTT] > abs(offsetPop):\n",
    "                    qualifyingTractList.append(TTT)\n",
    "        for TTT in qualifyingTractList:\n",
    "            homeDist[TTT] = UUDIST[TTT]\n",
    "        if len(qualifyingTractList) == 0 :  #rare case where most nearby tracts are small.  Add nearly the whole biggest one\n",
    "            isWholeTract = True\n",
    "            maxPop = 0.\n",
    "            targetT = -999\n",
    "            for TT in HDTRACTLIST:\n",
    "                for TTT in neighborList[TT]:\n",
    "                    if TTT not in qualifyingTractList and TTT not in HDTRACTLIST : # we'll take just one, even if doesn't fill gap\n",
    "                        qualifyingTractList.append(TTT)\n",
    "            for TTT in qualifyingTractList:\n",
    "                if tractPop[TTT] > maxPop:\n",
    "                    targetT = TTT\n",
    "                    maxPop = tractPop[targetT]\n",
    "        else:\n",
    "            targetT = homeDist.index(np.min(homeDist))\n",
    "        partialUseFrac = min(0.9999, -1.* offsetPop/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(t,\"'s negative offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    \n",
    "    return targetT, partialUseFrac\n",
    "\n",
    "def getAdjoiners(UNITLIST, UNITNBRS): #returns all units that neighbor a UNITLIST but are not in the UNITLIST \n",
    "    allNbrs = list()\n",
    "    for U in UNITLIST:\n",
    "        allNbrs = allNbrs + UNITNBRS[U]\n",
    "    adjoiners = list( set(allNbrs).difference(set(UNITLIST)) )\n",
    "    return adjoiners\n",
    "\n",
    "def get2nbrs(ULIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    Get the combined list of first- and second-level neighbors of a LIST, using neighborList connectivity.  Excludes the source list\n",
    "    \"\"\"\n",
    "    firstList =  getAdjoiners(ULIST, UNITNBRS)\n",
    "    secondList = getAdjoiners(firstList, UNITNBRS)\n",
    "    twoLevelList = list( set(firstList + secondList).difference(set(ULIST) ) )\n",
    "    return twoLevelList\n",
    "\n",
    "def getContigFromStarter(starter, VLIST, NEIGHBORLIST):  #all contiguous units in VLIST, starting from starter unit\n",
    "    foundList, newList, prevList = [ starter ], [ starter ], [ starter ]\n",
    "    while len(newList) > 0:\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()        \n",
    "    return foundList   \n",
    "\n",
    "def isContiguous(VLIST,NEIGHBORLIST,returnBiggestPiece=False):\n",
    "    \"\"\"\n",
    "    This method determines if all items in a list form a continuous chain of neighbors based on the passed neighborlist\n",
    "    Empty lists are considered contiguous.  If discontiguous, a less-than-majority piece list is returned,\n",
    "     unless giveBig=True, in which case we return the biggest piece\n",
    "    \"\"\"    \n",
    "    isUnbroken, newList, foundList = True, list(), list()\n",
    "    if len(VLIST) > 0:\n",
    "        foundList, newList, prevList = [ VLIST[0] ], [ VLIST[0] ], [ VLIST[0] ]\n",
    "    while len(newList) > 0:  #this round's list of neighbors\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()      \n",
    "    pickedPieceList = foundList.copy()  #default contiguous sublist to pass back to main\n",
    "    \n",
    "    if len(foundList) < len(VLIST):  #not contiguous\n",
    "        isUnbroken  = False\n",
    "        pieceLists, remainingList = [foundList], list( set(VLIST).difference(set(foundList) ) )\n",
    "        if returnBiggestPiece == True:  #we were asked for the biggest piece, not a random small one, so we must find them all\n",
    "            if len(foundList) < 0.5*len(VLIST):\n",
    "                while len(remainingList) > 0:\n",
    "                    newList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                    pieceLists.append(newList)\n",
    "                    remainingList = list(set(remainingList).difference(set(newList)))\n",
    "                pieceLengths = [len(pL) for pL in pieceLists]\n",
    "                pickedPieceList = pieceLists[ pieceLengths.index(np.max(pieceLengths)) ]\n",
    "            \n",
    "        else: #quickly return a contiguous sub-list that's at most half the total units in the list\n",
    "            if len(foundList) > 0.5*len(VLIST): #pick a different piece; this one is the majority\n",
    "                pickedPieceList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                \n",
    "    return isUnbroken, pickedPieceList\n",
    "\n",
    "def enclaveCheck(UNITLIST,UNITNBRS,maxLoops=4):\n",
    "    \"\"\"\n",
    "    This method determines if a list of units has an unbroken boundary AND whether its complement has an unbroken boundary\n",
    "    If the complement boundary is broken, there is an enclave or the district is so disconnected its adjoining units aren't contiguous\n",
    "    The method returns contiguity of boundary and of its adjoiners.  Also returns the lists of boundary and complement-boundary units\n",
    "      If either of these is broken, only a contiguous sublist is returned that is guaranteed to be smaller than half (for finding enclaves)\n",
    "      maxLoops is the number of loops for expanding neighbors-of-neighbors for contiguity of the units outside the passed unit-list\n",
    "    \"\"\"\n",
    "    UNITSET = set(UNITLIST)\n",
    "    ADJLIST =  get2nbrs(UNITLIST, UNITNBRS)  #in case direct adjoiners are only queen-adjacent\n",
    "    #adjoinersOfAdjoiners = getAdjoiners(ADJLIST,  UNITNBRS)\n",
    "    #BDRYLIST = list( set(UNITLIST).intersection(set(adjoinersOfAdjoiners)) )  #this might fail for queen-adjacent boundary units\n",
    "    BDRYLIST = list (set(get2nbrs(ADJLIST,UNITNBRS)).intersection(UNITSET) )  #in case inHD boundary is only queen-adjacent\n",
    "    noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)  \n",
    "    unbroken, smallPieceList = isContiguous(BDRYLIST, UNITNBRS)\n",
    "    if not unbroken: #could be that district's boundary intersects the state boundary or there is a nonHD enclave inside the HD\n",
    "        unbroken, smallPieceList = isContiguous(UNITLIST, UNITNBRS)  #slower check for full district, not just its boundary \n",
    "    nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "    while nLoops <= maxLoops and not noEnclave:\n",
    "        nLoops +=1\n",
    "        newSet = set(ADJLIST)\n",
    "        for UU in ADJLIST:\n",
    "            newSet = newSet.union( set(UNITNBRS[UU]).difference(UNITSET) )\n",
    "        ADJLIST = list(newSet)\n",
    "        noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)\n",
    "    #isJiggy = noEnclave and unbroken\n",
    "    return unbroken, noEnclave, smallPieceList, enclaveList\n",
    "\n",
    "def getBdryNonEdgers(UNITLIST, UNITNBRS): #all in-district boundary units that neighbor a non-district unit\n",
    "    ALLnonHDnbrs = set()\n",
    "    for UUU in UNITLIST:\n",
    "        ALLnonHDnbrs = ALLnonHDnbrs.union(set(UNITNBRS[UUU])).difference(set(UNITLIST))\n",
    "    BdryNonEdgerSet = set()\n",
    "    for UUU in UNITLIST:\n",
    "        if len(set(UNITNBRS[UUU]).intersection(ALLnonHDnbrs)) > 0:\n",
    "            BdryNonEdgerSet.add(UUU)\n",
    "    return list(BdryNonEdgerSet)\n",
    "\n",
    "def getEnclaveLists(UNITLIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    finds ALL units enclaved by a UNITLIST, parsed into lists of contiguous pieces\n",
    "    We assume the largest contiguous complement to the UNITLIST is not an enclave, but rather the majority of the HD complement\n",
    "    if the UNITLIST's complement (all couldBeEnclaved) is contiguous, the returned list will be blank\n",
    "    \"\"\"\n",
    "    eSets, nU = list(), len(UNITNBRS)\n",
    "    offmapList = list()\n",
    "    for i,L in enumerate(UNITNBRS):\n",
    "        if len(L) == 0:\n",
    "            offmapList.append(i)  #offmap list are units with no neighbors (were surrounded)\n",
    "    complementSet = set([i for i in range(nU)] ).difference( set(UNITLIST + offmapList) )    \n",
    "    remaining2nbrs = get2nbrs(UNITLIST, UNITNBRS)\n",
    "    \n",
    "    isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS) #quicker than contig check on entire complement\n",
    "    while not isContig:  #this will kick out before writing the final sublist = map majority\n",
    "        starter = shortList[0]\n",
    "        newEnclaveList = getContigFromStarter(starter, list(complementSet), UNITNBRS)\n",
    "        eSets.append(set(newEnclaveList))\n",
    "        remaining2nbrs = list(set(remaining2nbrs).difference(set(shortList)) )\n",
    "        isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS)\n",
    "        \n",
    "        # couldBeEnclaved = list( set(couldBeEnclaved).difference(set(newEnclaveList)) )  #revised 18-Feb-24 -- was slower\n",
    "    fused_eSets = set()\n",
    "    for i, eSet in enumerate(eSets):\n",
    "        fused_eSets = fused_eSets.union(eSet)\n",
    "        for j in range(i+1, len(eSets) ) :\n",
    "            eSets[j] = eSets[j].difference(eSet)  #in case contiguity occurs, but not in 2-neighbor list; avoid double-count\n",
    "    remnant_eSet = complementSet.difference(fused_eSets) \n",
    "    eLengths = [len(eSet) for eSet in eSets]\n",
    "    if len(eSets) > 0:\n",
    "        if len(remnant_eSet) < np.max(eLengths):  #exchange the small remnant for the biggest found \"enclave\" (usually the major complement) \n",
    "            eSets[eLengths.index(np.max(eLengths))] = remnant_eSet.copy()\n",
    "    eLists = [list(eSet) for eSet in eSets]\n",
    "    return eLists\n",
    "\n",
    "def wontEnclave(proposedU, dList, NBRLIST, mapBDRYLIST):\n",
    "    \"\"\"\n",
    "    This method checks if adding a proposedU to a dList (list of units in a district) will create an \"enclave\" of units in the dList's complement\n",
    "    via two problems:  A) the dList will now have a discontiguous set of units on the map boundary.  The full map boundary list is mapBDRYLIST\n",
    "      B) The non-dList neighbors of dList units aren't contiguous\n",
    "    The method doesn't require that the dList wontEnclave without the proposedU included; it just checks the proposedU + dList combination\n",
    "    It also doesn't check that the dList is itself contiguous with or without proposedU\n",
    "    In that sense, it is more limited than enclaveCheck\n",
    "    \"\"\"\n",
    "    wontEnclave = True\n",
    "    newList, newSet = dList + [proposedU], set(dList + [proposedU])\n",
    "    unitsOnBoundary = list( set(mapBDRYLIST).intersection(newSet) )\n",
    "    wontEnclave, __ = isContiguous(unitsOnBoundary,NBRLIST)  #first check - does district touch MAP boundary in multiple places? (quick FAIL)\n",
    "    if wontEnclave: #slower check below for internal enclaves\n",
    "        adjoiners = get2nbrs(newList, NBRLIST)  #2-level to protect for queen adjacency in boundary        \n",
    "        wontEnclave, __ = isContiguous(adjoiners,NBRLIST)\n",
    "        if not wontEnclave:\n",
    "            nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "            maxLoops, ADJLIST = 6, adjoiners #unlike enclaveCheck, here we just arbitrarily set a number of loops for search expansion\n",
    "            while nLoops <= maxLoops and not wontEnclave:\n",
    "                nLoops +=1\n",
    "                adjSet = set(ADJLIST)  #align nomenclature w enclaveCheck\n",
    "                for UU in ADJLIST:\n",
    "                    adjSet = adjSet.union( set(NBRLIST[UU]).difference(set(newList)) )\n",
    "                ADJLIST = list(adjSet)\n",
    "                wontEnclave, __ =   isContiguous(ADJLIST, NBRLIST)\n",
    "        \n",
    "    return wontEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d041d328-83e0-45db-a869-e0956c23ee26",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the state postal code; e.g. OH  TX\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, enter 1 below to use tx_pl2020_vtd.dbf as this state's population data file\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "  1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempting to read in state unit geometries.  Stand by ...\n",
      "I read in the Census popn data. TX has 29145505 peeps and is divided into 9007 shapes.\n"
     ]
    }
   ],
   "source": [
    "STATE = str(input(\"Enter the state postal code; e.g. OH \")).upper()\n",
    "popFilename = STATE.lower()+\"_pl2020_vtd.dbf\"\n",
    "print(\"OK, enter 1 below to use\",popFilename,\"as this state's population data file\")\n",
    "enter1 = input(\" \")\n",
    "if int(enter1) != 1:\n",
    "    popFilename = input(\"OK, then enter the pop data file.  Typically a xx_pl2020_vtd.dbf\")\n",
    "print(\"attempting to read in state unit geometries.  Stand by ...\")\n",
    "tractPopFile = gpd.read_file(\"state_map_files/\"+popFilename)\n",
    "trueTractGeom = tractPopFile['geometry']\n",
    "nTracts = len(trueTractGeom)\n",
    "tractPop = tractPopFile['P0010001']\n",
    "statePop = np.sum(tractPop)\n",
    "censusGEOID20 = tractPopFile['GEOID20']\n",
    "print(\"I read in the Census popn data.\",STATE,\"has\",statePop,\"peeps and is divided into\",nTracts,\"shapes.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3bfdea9d-b0ea-497a-a556-6b488a3e333e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the number of districts in the state.  My guess is 38 38\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 254 counties in TX .  I will assign them county Nos 0 - 253\n"
     ]
    }
   ],
   "source": [
    "tractGeom = trueTractGeom.copy()   #for some states, we will modify geom, so preserve original\n",
    "#tractNAME20 = tractPopFile['NAME20']\n",
    "tractPop = tractPopFile['P0010001']\n",
    "inputfileCountyNo = tractPopFile['COUNTYFP20']\n",
    "vtdGEOID20 =  tractPopFile['GEOID20'] \n",
    "nDistricts = int(round(statePop/760000,0))\n",
    "nCutDistricts = 0\n",
    "nDistricts = int(input(\"Enter the number of districts in the state.  My guess is \"+str(nDistricts)))\n",
    "tractArea = [tractGeom[t].area for t in range(nTracts)]\n",
    "trueTractCP =   [tractGeom[t].centroid for t in range(nTracts)]\n",
    "tractCP = trueTractCP.copy()  #for some states, we move secluded corners into the map, so save the true data\n",
    "tractCPx =  [tractCP[t].x for t in range(nTracts)]\n",
    "tractCPy =  [tractCP[t].y for t in range(nTracts)]\n",
    "inputCountyNumbers = list()\n",
    "for t in range(nTracts):\n",
    "    if inputfileCountyNo[t] not in inputCountyNumbers:\n",
    "        inputCountyNumbers.append(inputfileCountyNo[t])\n",
    "nCounties = len(inputCountyNumbers)\n",
    "print(\"There appear to be\",nCounties,\"counties in\",STATE,\".  I will assign them county Nos 0 -\",int(nCounties-1))\n",
    "sortedICNs = list(np.sort(inputCountyNumbers))\n",
    "countyNo = [sortedICNs.index(inputfileCountyNo[t]) for t in range(nTracts) ]\n",
    "\n",
    "isSkippedTract = [0] *nTracts  #this will house a temporary list of tracts for manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "adffc7a4-a78c-477f-8ea4-7f8e5109fa2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now build the county-by-county geometries, hoping there are no islands\n",
      "Building county geom for county 0\n",
      "Building county geom for county 20\n",
      "Building county geom for county 40\n",
      "Building county geom for county 60\n",
      "Building county geom for county 80\n",
      "Building county geom for county 100\n",
      "Building county geom for county 120\n",
      "Building county geom for county 140\n",
      "Building county geom for county 160\n",
      "Building county geom for county 180\n",
      "Building county geom for county 200\n",
      "Building county geom for county 220\n",
      "Building county geom for county 240\n",
      "Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop < 4.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 1 unpopulated coastal tracts.\n",
      "Lets plot them and their parent counties\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"We will now build the county-by-county geometries, hoping there are no islands\")\n",
    "skipList = list()  #a list of units we previously know to skip in the map\n",
    "isAlteredCounty = [False for c in range(nCounties)]\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "countyPop =       [0. for c in range(nCounties)]\n",
    "countyGeom =      [dummyPoly for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    if t not in skipList:\n",
    "        c = countyNo[t]\n",
    "        countyTractList[c].append(t)\n",
    "        countyPop[c] += tractPop[t]\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Building county geom for county\",c)\n",
    "    for t in countyTractList[c]:\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            countyGeom[c] = tractGeom[t]\n",
    "        else:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "origMAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    origMAP = origMAP.union(countyGeom[c])\n",
    "    if countyGeom[c] == dummyPoly:\n",
    "        print(\"WARNING! county\",c,\"is empty!\")\n",
    "    else:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "minTractPop = 4.5\n",
    "print(\"Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop <\",minTractPop)\n",
    "plt.show()\n",
    "if origMAP.geom_type == dummyPoly.geom_type:\n",
    "    mapExterior = origMAP.exterior\n",
    "else:\n",
    "    for i,geo in enumerate(origMAP.geoms):\n",
    "        if i == 0:\n",
    "            mapExterior = geo.exterior\n",
    "        else:\n",
    "            mapExterior = mapExterior.union(geo.exterior)\n",
    "\n",
    "for c in range(nCounties):\n",
    "    for t in countyTractList[c]:\n",
    "        if tractPop[t] < minTractPop:\n",
    "            if tractGeom[t].intersects(mapExterior):\n",
    "                isAlteredCounty[c] = True\n",
    "                skipList.append(t)\n",
    "print(\"There appear to be\",len(skipList),\"unpopulated coastal tracts.\")\n",
    "if len(skipList) > 0:\n",
    "    print(\"Lets plot them and their parent counties\")\n",
    "    for t in skipList:\n",
    "        plotPoly(tractGeom[t])\n",
    "        plotCenter(t,tractGeom[t],6)\n",
    "    plotPoly(origMAP,0.2)\n",
    "    for c in range(nCounties):\n",
    "        if isAlteredCounty[c]:\n",
    "            plotPoly(countyGeom[c])\n",
    "    plt.show()\n",
    "trueMAP = origMAP  #use these terms interchangeably"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7a6c93c4-af08-47d5-90f7-dc0b4513aad5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last chance to alter the skipList, otherwise the above 1 units will be axed\n",
      "here is the proposed skipList [1074]\n",
      "here is the final skipList [1074]\n"
     ]
    }
   ],
   "source": [
    "print(\"Last chance to alter the skipList, otherwise the above\",len(skipList),\"units will be axed\")\n",
    "print(\"here is the proposed skipList\", skipList)\n",
    "#skipList = [1939, 1364] #...  #alter here if needed - 1874, 1270, 1497, 1771 create contiguity problems if axed\n",
    "print(\"here is the final skipList\", skipList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2989f381-466b-4882-bf1d-cfa37a7ba8ef",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now preserve the original county unit lists and geoms, then rebuild as needed\n",
      "removing coastal units from countyNo 35\n",
      "Here is the revised state county map after eliminating coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Excellent!  We have no populated islands.  SKIP the below code block.\n",
      "we will scale longitudinal distance by 0.8523\n"
     ]
    }
   ],
   "source": [
    "print(\"I will now preserve the original county unit lists and geoms, then rebuild as needed\")\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "trueCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "for c in range(nCounties):\n",
    "    trueCountyTractList[c] = countyTractList[c].copy()\n",
    "    if isAlteredCounty[c]:\n",
    "        print(\"removing coastal units from countyNo\",c)\n",
    "        countyTractList[c] = list()\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in trueCountyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                countyTractList[c].append(t)\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            print(\"Uh oh! county\",c,\"didn't have any usable tracts\")\n",
    "MAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    plotPoly(countyGeom[c])\n",
    "    plotCenter(c,countyGeom[c])\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "origPopMAP = MAP   #origPopMAP is the map after eliminating coastal unpopulated tracts, with original islands\n",
    "print(\"Here is the revised state county map after eliminating coastal tracts\")\n",
    "plt.show()\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    print(\"Excellent!  We have no populated islands.  SKIP the below code block.\")\n",
    "else:\n",
    "    print(\"We appear to have some populated islands.  Separate out the main state geom in next block.\")\n",
    "LAT = MAP.centroid.y\n",
    "xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "print(\"we will scale longitudinal distance by\",r5(xScale))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8a562a21-4107-4a3c-a320-90442a473387",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\n",
      "unit 3739 is a true island.  We will move it to adjoin the mainland in same county.\n",
      "unit 3759 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 3068 has island pieces.  We will reduce the tract to its main state component\n",
      "unit 3097 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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CT7vvgJ8mHfqW7+D2PlOv+b5+Pv7IKW+P0oJd8naokW08mIlxb/+CIf/ZgZ+OnXd1OURXYKiREefUELkno8WKFzcdw18/SXTYP+LVXbj9zT2oMF+6VFvp67jKsLXYhPKUXGha+UIbbQAA/HL0WwR6nUfbmI/Qr/PQWtWg9OmPYN1RVJgqGtgb1/jqwDn8Y/1B9GsXhBta+ePhD37Ds18f5i9y5FYaFGqWLl0KSZIwe/Zs+74VK1ZgyJAhMBgMkCQJBQUF122ndevWkCTpim3mzJn2YyoqKjBz5kwEBQXB19cX48ePx/nz7vWbAufUELmnw+eK8M6ONAxo3wI7/z4Ep5eOwbdPDAAApJwrRMwzm7Do26Ow2QRw2WmpirQCWC6UwzsuGApvtX3/hdzdyC8PQdfo7rV6f5vNBqu1DBqlCcfOHpK3c43g8LlCzP4sGT2iAvD+5JvwwZSb8PzYrli9Px3TP05ksCG3Ue9Qk5CQgOXLlyMuLs5hf1lZGeLj47FgwYI6tZWVlWXftmzZAgC455577MfMmTMH33zzDdatW4edO3ciMzMTd911V33LdwrOqSFyTxdLK+eAPHNbF0QH+QAAYlv64dSS0VgwOgYA8O6eU3j80yQAgLXUjLKDF6AO9XaYKGyxWlBQchG+OIByRc9avXe5qRwf//AIwpWfIdM8Ht2ia/c6dxLup4NWpYBNCGhVCkiShIf6tsa7k3phe2oO1vya7uoSiQDU85LukpISTJw4EStXrsSiRYscnqsetdmxY0et2wsODnZ4vHTpUrRr1w6DBw8GABQWFuK9997DmjVrcOuttwIAVq1ahc6dO2Pfvn3o06dPfbohOyXn1BC5pQpL5eklL43jPZokScL0Qe0wvkcrjP3fz4hr5Q9JrYQ5qxRecY73hvrl923I+OM5tPDKhL8O8DUMuO77Zl3MxE8/T0aY9gzKvBfgwevMvXFXQb5azB7WES9uOoYKs83+5zikUwju7RmJV7Ycxx03RMDfu2E3CCVqqHqN1MycORNjxozBsGHD5K4HJpMJn3zyCR5++GH7D5TExESYzWaH94uJiUFUVBT27t1bYztGoxFFRUUOm7OpOKeGyC0pqn6WVFzlNgdBvlrsmXcrZgxuB21bP+ja+9t//mRdzMSH301BedZ0AJf+/84r+P2a73nwjwTs23cHfFU5CIx+97qTid2dRqWATq24Ihg+ObIjzBYbXt92wkWVEV1S51Czdu1aJCUlYcmSJc6oB1999RUKCgowefJk+77s7GxoNBr4+/s7HBsaGors7Owa21myZAn8/PzsW2RkpFPqvZySc2qI3FLvNoFQSMBPx3Jq/RqL1YIvdr2GxF+HI0iVgCLNXNwdvxP55SEAAD/beuQV59X42k2/rUVm2oOosPqie88NuKnjQFn64UoXS00I8tFesT9Er8PMW9vj471ncDKnxAWVEV1Sp1CTkZGBWbNmYfXq1dDpdE4p6L333sOoUaMQERHRoHbmz5+PwsJC+5aRkSFThVen5pwaIrcU5KtF//Yt8O+NR3DHW3vw4qZjV12nBqi8KeVnP4yBv+VN5Fn64ebe2zBuwEwolUqYtJUjxlqlEZv2verwOpvNhjVbn4O66GnkGHvg9qHfIiq4jVP71lhyS4wI8FHX+NzD/dsg3F+Hhd8ccbiSjKix1SnUJCYmIicnBz169IBKpYJKpcLOnTvxxhtvQKVSwWpt2D/mM2fOYOvWrXjkkUcc9oeFhcFkMl1xJdX58+cRFhZWY1tarRYGg8FhczbOqSFyX2/d3wOzhnZAiF6Hd3akYdF3vyOn6MrLq39IWI3fU8bCS5kHr/AVmDRmJUL8Q+3P9+h4NwDgojEYAeJL5BZdGv35ZNPjCFV8jPO2B/Dg6E/g6+Xr/I41kiOZRegUWvPPUZ1aiadHd8HuE7no+uxmfHXgXCNXR1SpTqFm6NChSElJQXJysn3r1asXJk6ciOTkZCiVyus3cg2rVq1CSEgIxowZ47C/Z8+eUKvV2LZtm31famoq0tPT0bdv3wa9p5w4p4bIffl5qTHzlvZ4d1Iv/GtMZ7y35xRu+c8OvPL6W4iLi4PBYICv3hdPTpqKn34JxpCBP6Jf56FXLCfxrznPIy0zCIG6HGhVRmza919s27YN3XvdiBl3L8P4u3NwcEsFbLZLv+A899xzNS5b4ePj48I/kdo7mVOMw5mF6Ncu6KrHxMeGYcNj/dCvXRCe+eowvk/JuuZoGJEz1CnU6PV6xMbGOmw+Pj4ICgpCbGwsgMr5L8nJyTh58iQA2ENQfn6+vZ2hQ4firbfecmjbZrNh1apVmDRpElQqx4uy/Pz8MHXqVMydOxfbt29HYmIipkyZgr59+7rNlU9A5UgN59QQub9HBrbFxN5RMFsFIiNbYenSpdi3fy+e/09XxHRrgTcX70XWmSwANS8n8Z8lmfa2ys6sxujRo9EmRsJ/3+yMzz//Ahs3bsQ///lP+zFPPfWUw7IVWVlZ6NKli8OyFbVVXGHGyZwrV0J2pre3pyFUr8NtN4Rf87juUQF4cXwcWrfwwWOrk/BXrmFDjUz2u3QvW7YMCxcutD8eNGgQgMpRmOrJv2lpacjNzXV43datW5Geno6HH364xnZfffVVKBQKjB8/HkajESNHjsTbb78td/kNolYqOFJD1ET8kpaHEV1Dcc9dPQAAa7cvRrf2eRh4y6fYsWUs9u3bh1atWl11OYkjGYvRMeID7Niej8hoFR6dXIIC9QyMGDwCL730Eu699148++yz0Ov18PX1ha/vpVNRBw8exNGjR7Fs2bJa1Xqx1ITb39qDrMIK+y9Op5eOQUZ+Gc4VlKNP26uPoDRURn4Zvj6YiadHd4ZWdf3R+Ah/L3zzxAD8eCQbj65Owss/pmL+qM5Oq4/ocg0ONX9ej+a5557Dc889d83XnD59+op9I0aMuOZQpU6nw//+9z/873//q0eVjYNzaoiahgvFRpzKLYXRbIXRYsWZ3PPwt3yITPNtyEs6h9LSUvTt2/eay0lY83VoP/xrFFfcAi9tBSxCiV4xY2Gz2eDl5YWKigokJiZiyJAhV7z/u+++i44dO2LgwNpdFXWhxIizF8tx+w0ROJ5djNTzxRBC4KXNqfjmYCZuiwvH/93ZDX7eNU/kbYhlO9Pg76XGhJuj6vS6EV3D8I+RnbB00zEM6RiCvtc4dUUkF977SUYqnn4iahKC9VrMHxWDnGIjRr++G08vX4Fxd5zA1DvewowZM7BhwwZ06dLlustJtI+IwRMzPsTRo0bs2XkRJw6NwP8+m43nn38eAJCVlXXFe1dUVGD16tWYOvXKdWtsNoEykwW7jl/Ah7+cRnah40Tmyf2iMXVA5dVUQgDe6sqRkx2pFzDkP9ux/4+aLzGvr8PnCrHut7N4eECbK9anqY1pA9vi5taBeOLTA/jtdP71X0DUQAw1MuINLYmajr8Obofv/jYQfl5qaPwqsGxFJPbu3Y1HH30UkyZNwtGjR2vVzogRI/Dyy//Ba68VY1T8Kfzj4bfQsdMRAMDug6twLt9xOYkNGzaguLgYkyZNurTvwFncsPBHtF3wPbr8ezMeev9XPLvxCPos2YZNh7Mw57NkAIBBp0b1Isc2IaBQAHGt/PDTk4PhrVHh64OZkEN+qQmPr0nCbW/uQbBei4f6RterHYVCwv8m9kDrIG889P6vSDlbKEt9RFfDUCMjlZKL7xE1JZ3C9Fg/ox+eHOqF1tFRuOmmvliyZAluuOEGvP7667VeTmLu3LkoKS7F6dPpeOOTe9CvnzcAoGvUERxOHIbVW/+FbT+1w7af2mHpK4vQq38c9p78EmdzK++ZdOR0AoK1xzCwQwssHtcNKx/qZR+RmfFJEtIulOC1v9yIDqF6+0rHlb9ASRACCDHoEKzXynL6Oyn9Isa8sRs/n8zFy3fH4aenBkOvq/9prRa+Wnw8tTc6huox5YMEZOSXNbhGoqthqJGRSiHBzDk1RE2KQiHBWpEGqzUPNpsZQOXVmEajsU7LSUiShMjISEwd9ykOHR2PyMhI3DMhCdnGHghTfAoAyMoyIyXxKG4bfg5643+QlHgbPvz2QfT1ewqzenyCj6f2xv29ozC8Syieua0LAn0q76U0Lz4Gd3ZvCaDy5pIAMPr13dh+LAei6tYNaqUEi7Vhv1SdL6rAA+/uR4S/F76fNRD39Iqs1eTg6/HSKPHepF7w1Sox6f1fkVdibHCbRDWR/eqn5oyXdBM1PfPnz0enGBPU6hIkJPyAr77aix07dmDz5s0Oy0kEBgbCYDDgiSeeuGI5iZdffhnx8fFQKBT48ssv8fbrb+Pzzz9HSEAoHhy9Gln551BSUYiPP1+CgKDvMf3xFPz466tQmn+BWlTe6sWg87qito2P90dmQQV6RQfY9/Vv3wLLH+yJrw6cg1qpwMAOLQAAKoUC5gb+/Hlt6wkoJAmrptwEQwNGZ2oS5KvFhw/fjPHv7MWdb/+Mdx+6CZ3C9LK+BxFDjYy4+B5R05OTk4NPPvkJ589fgL//I4iLi8PmzZsxfPhwALVbTuKHH37A//3f/8FoNOKGG27A119/jVGjRgEAFAoFWraIhM3WEtu+24UZ0x9DsF8wJg5fbH/9sWPPIufCz1fU1irAG60CvK/YP7JrGEZ2dVxNXaWUYLU5jhQLIVBqsuK30/no3Sboism+5wrKcTKnBPmlRmQWVODTX9MxLz5G9kBTLTrIB1/N7IdHPvwN9y7fi3ce6IF+7Vo45b2oeZJEM1nysaioCH5+figsLHTaLRMWbEjB4XOF2Pj4AKe0T0TOcSz1eZw//yMGD9rjovd/Djk5uzFo4LbrH3wV0z/6DT8dy0HbYB+0D/GFVqXET8dyUFheeUrNV6vC+B4tMa5HK5zMKcHRzCJ8+ms6yqvu1eSlViIy0AsrH+qF6CDnrnScW2LE42uSkJRegPcn3YQBHRhs6Orq8vnNkRoZVc6paRYZkcij5OX9Bj+/7i57fwlSg9t45rYuGNihBU7klODE+RJYbSbodSpEBnrhjhsikF1oxMf7TuPDvWcAANFB3hjRNRSPDmmH6ECfel2yXV8tqk5F/fXjRDzyUQJWTb6Z69iQLBhqZFQ5p4YThYmaEpvNiIqK44iKHO/CKiQADfuFKDLQGw/2bX3NY6YObIO8EiPaBfvCR+vaH/9alRLLHuiJaR/9hoc/SMCHD9+Mm9sEurQmavp49ZOMOKeGqOkpKj4MwOzSkZrKxWec/7Ojpb8X4lr5uzzQVNOplVjxYC/cGOmPhz9IwOFzXMeGGoahRkZcp4ao6cnN3QGFwhe+vl1cVoMkSY2RadySl0aJlZN6oV2wDya9/ytO55a6uiRqwhhqZKRSNHydCCJqXNnZPyIwcDAUCleOXkj29WaaI1+tCqum3Aw/LzWmfJCAgjKTq0uiJoqhRkaVt0ngnBqipsJsLoDRmIaQ4MEurUOSYU5NUxfoo8GqKTehoMyE6R8nwmixurokaoIYamTEG1oSNS0FBb8BEPD3v9nVpRAq17F5d1IvJGcU4O/rDqGZrDhCMmKokZFKqeBEYaImoqIiE4dS/goJauh0rVxbjNTwS7o9Rc/oQLx6743YeDATr2457upyqIlxjynwHoJzaoiajrz83QCALl1ftt8k0nV4+ulyY+LCkZ4fgxc3HUN0kA/G93Rx6KQmg6FGRpxTQ9R05OcnQKvtgLDQ211dShWGmsvNGNwWp3NL8c8vDyHC3wslRgtubh0IP2/n3MKBPANDjYw4p4aoafjj1BvIydmAFkGjXV0KAE4UrokkSVg0LhZnC8owYeU+3Je6GcYLhzFyxxaoZbhzOHkmhhoZKRWcU0Pk7mw2C06deh0A0LHjvHq3I4SAEGbYbEZYreWw2SpgtVZc9rUcVlsFbFYjrLZy2Byeq4DFWg6zuQzCZkZJ6WG5uudR1EoF3p7YEx99uh3DvtoCANi0YCluf+lpF1dG7oqhRkYqpQQhAKtNQKlw9Tl6IqrJxYt7AQAd2j8NL6/KuRoFBb+hpOQYLJZiWCzFMJkKKzdzISyWElitZbDZjBDCBCEqqr4aAdT+dLMkaao2XdVXLRQKLRQKDSTJD+Hh8c7obpOnhwXDPnsZaBuNNF0LtN/4CbaEh2H4nKmuLo3cEEONjFRVQcZis0Gp4PAokTsyGOIgSVoUF6cCACyWEiQlPQABKxQKHygkHyiUPlCpDFCrDPDxiYJa5QuV2htKhQ5KpRcUCh0USh2U9q9eUCi0UCp1UCi8qr5qLx2r0EKSeLFpfZxbvAgi+zzabfgKHSKjsGXknWix6g2kjxyCqC7tXF0euRmGGhlVj85wXg2R+1Kr/dC27Rykpb0ItSYAKpUPBMzo2+cneHtHu7o8ukzRli0oWfclwhc+B23btgCA3qtX4cjttyF12iPQfboGIVHhLq6S3Al/dZCRSlH5x8l5NUTuLTpqKiIjp+Ps2U9w6tRr0GqjGWjcjPl8Ds4+PR+aWwfB/9577fsDw4MR9Or/YCgtwMH770f2qbMurJLcDUONjFTKqtNPXKuGyK1JkgIdO/wDQwYnY8CA/ejb51tXl0SXEUIg/d8LAJUK0f+39Ip1hLoM7AXDW+/Cu6wEx++5GycTOdGaKjHUyOjyOTVE5P4UChW0mhZQKr1dXQpdpvTnX2Da+TNaPfc8VAEBNR7TeUBPRK35DBa1GrlTH8LvexIbuUpyRww1MuKcGiKihsv79ivYosKhHz78msdFxrRF3Lr1KNL7o+SxqUjZtreRKiR3xVAjI/ucGp5+IiKqFyEESnbsRNCIUbW6fUWLVqG46Yt1yAsMgWn2DCR9t8P5RZLbYqiRkX1ODUdqiIjqxVZYCEVBMbxju9X6NQEhQej35Tpkh0ZCmvcEfv1isxMrJHfGUCMjlf30E+fUEBHVi310pm4LmBoC/TDki7U4G9ke2meexOalb8PGn8XNDkONjJQKjtQQETWIsmrhUpu1zi/18fPF8C/W4I+uPRD1wZv4esIjMFUYZS6Q3BlDjYw4p4aIqGGkqp+jwlq/URadtxfGrfsIWX97Gu1S9mPzuPtwMTtPzhLJjTHUyIhzaoiIGqgBIzWXu/WxB1C+8L8IO3cKKbffhnPHTze8NnJ7vE2CjDinhojoSjaTCWW/JkAYKyDM5srNZL70vX2fCcJUebqoviM1l+t9TzzOdGmPjIfux5n77sb5F/6DHmOGNLhdcl8MNTKyz6nh6SciIruijRuR9a9nrtgvFApArYJQKQG1ClCpINRKSG1aQduhgyzvHd21PbTrvkDStL8i4h+P44D0P3QfPViWtsn9MNTIqHpODRffIyK6xGY0QigU6PjzHkhqdeWmUkGqPtXkZGFtIzHk6/XYPvZuhPxzFo4HfYiOvW9olPemxsU5NTKqnlNjZqghIrKrnvyrCgiA0tcXCq220QJNNW9fb/T79GMU+vqhZOqD+CP5WKO+PzUOhhoZcU4NEVENJAmA63/ZCwgJQuwnn6BCrUX69IeRk57l6pJIZgw1MuKcGiKimkjukGkAVJ6KavnxGuhMFUj5y31I/Ha7q0siGTHUyIhzaoiIaiBJkIT7/FyMju0A9Qv/ASQblPP+huTNe1xdEsmEoUZGnFNDRFSDut3xoFH0vP1W9N28CVkhLWGc9zekHfjd1SWRDBoUapYuXQpJkjB79mz7vhUrVmDIkCEwGAyQJAkFBQW1auvcuXN44IEHEBQUBC8vL3Tr1g2//fab/fnJkydDkiSHLT4+viHly07JOTVERFewrxLsRqM1AOCt98HNn3yEMp03sh6ZhJOJR1xdEjVQvUNNQkICli9fjri4OIf9ZWVliI+Px4IFC2rd1sWLF9G/f3+o1Wr88MMPOHr0KP773/8iICDA4bj4+HhkZWXZt08//bS+5TuFinNqiIiuVH2TSjf8hS+oZQg6fbwGJo0WuVMfwu97El1dEjVAvdapKSkpwcSJE7Fy5UosWrTI4bnqUZsdO3bUur0XX3wRkZGRWLVqlX1fmzZtrjhOq9UiLCysPiU3iksjNQw1RESXVIUaNxupqRbRIQqadetx4C/3we+RB7Ch50Dc8eE7UKoa97Jzarh6jdTMnDkTY8aMwbBhw2QpYuPGjejVqxfuuecehISEoHv37li5cuUVx+3YsQMhISHo1KkTHn30UeTlXf0mZUajEUVFRQ6bs0mSBJVC4pwaIqLLSe4dagCgRatQhL2wFAAQk7gb+9d97+KKqD7qHGrWrl2LpKQkLFmyRLYi/vjjD7zzzjvo0KEDNm/ejEcffRR/+9vf8OGHH9qPiY+Px0cffYRt27bhxRdfxM6dOzFq1ChYrTXf9GzJkiXw8/Ozb5GRkbLVey1KhQSrDPcsISLyGPUINe+88w7i4uJgMBhgMBjQt29f/PDDD/bnKyoqMHPmTAQFBcHX1xfjx4/H+fPnr2jngw8+QFxcHHQ6HUJCQjBz5kyH5zdv3ow+ffpAr9fj1r/chqe7dEaCrx/yPnq/fn0ll6pTqMnIyMCsWbOwevVq6HQ62Yqw2Wzo0aMHFi9ejO7du2P69OmYNm0ali1bZj/mvvvuwx133IFu3brhzjvvxLfffouEhISrnuaaP38+CgsL7VtGRoZs9V6LSiHxLt1ERJeRqk7N1+UnY6tWrbB06VIkJibit99+w6233oqxY8fiyJHKybxz5szBN998g3Xr1mHnzp3IzMzEXXfd5dDGK6+8gqeffhr//Oc/ceTIEWzduhUjR460P3/q1CmMHTsWt956K5KTk7F582bk5eXhhZzzaH/qGL6a/iSslobdLZwamaiDDRs2CABCqVTaNwBCkiShVCqFxWKxH7t9+3YBQFy8ePG67UZFRYmpU6c67Hv77bdFRETENV/XokULsWzZslrVXlhYKACIwsLCWh1fX92e3SSW7Tjp1PcgImpKCr7+WhztFCOsFRUNaicgIEC8++67oqCgQKjVarFu3Tr7c7///rsAIPbu3SuEECI/P194eXmJrVu3XrW9devWCZVKJaxWq33fxo0bhSRJ4ut//0ekxHQWX42dIEqLShpUNzVMXT6/6zRSM3ToUKSkpCA5Odm+9erVCxMnTkRycjKU9byXR//+/ZGamuqw7/jx44iOjr7qa86ePYu8vDyEh4fX6z2dRa1UcKSGiOhyDbz6yWq1Yu3atSgtLUXfvn2RmJgIs9nsMK8zJiYGUVFR2Lt3LwBgy5YtsNlsOHfuHDp37oxWrVrh3nvvdRi179mzJxQKBVatWgWr1YrCwkJ8/PHHGDZsGO5Y+CQuzluE6BOHsPOOu5B79spTW+R+6hRq9Ho9YmNjHTYfHx8EBQUhNjYWAJCdnY3k5GScPHkSAOwhKD8/397O0KFD8dZbb9kfz5kzB/v27cPixYtx8uRJrFmzBitWrLCf+ywpKcHf//537Nu3D6dPn8a2bdswduxYtG/f3mEo0R0oFRIv6SYiclC/icIpKSnw9fWFVqvFjBkzsGHDBnTp0gXZ2dnQaDTw9/d3OD40NBTZ2dkAKudq2mw2LF68GK+99hrWr1+P/Px8DB8+HCaTCUDlVbY//vgjFixYAK1WC39/f5w9exaff/45AGDg5LsgvbYcARdzcfiucbwJZhMg+4rCy5YtQ/fu3TFt2jQAwKBBg9C9e3ds3LjRfkxaWhpyc3Ptj2+66SZs2LABn376KWJjY/HCCy/gtddew8SJEwEASqUShw4dwh133IGOHTti6tSp6NmzJ3bv3g2tVit3FxpEpZC4+B4R0eXqefVTp06dkJycjP379+PRRx/FpEmTcPTo0Vq91mazwWw244033sDIkSPRp08ffPrppzhx4gS2b6+831N2djamTZuGSZMmISEhATt37oRGo8Hdd99tXyjwhuH9EfbRpxCShAuT78eBH3bVqQ/UuOq1Ts3l/jxR97nnnsNzzz13zdecPn36in233XYbbrvtthqP9/LywubNm+tZYeNSKjlRmIjocvaJwnX80ajRaNC+fXsAlaeKEhIS8Prrr+Mvf/kLTCYTCgoKHEZrzp8/b1/LrHpqQpcuXezPBwcHo0WLFkhPTwcA/O9//4Ofnx9eeukl+zGffPIJIiMjsX//fvTp0wcA0DquI/RfbsD+Bych4qnHsOv8QgyaPL5unaFGwXs/yUyt4JwaIiIH1SM1DbxVt81mg9FoRM+ePaFWq7Ft2zb7c6mpqUhPT0ffvn0BVM7VrN5fLT8/H7m5ufb5mmVlZVAoHD8Gq+eG2v404h7UMgRDNn6BzLDWCHzxGRzYvLtBfSHnYKiRGefUEBH9ST0mCs+fPx+7du3C6dOnkZKSgvnz52PHjh2YOHEi/Pz8MHXqVMydOxfbt29HYmIipkyZgr59+9pHVzp27IixY8di1qxZ+OWXX3D48GFMmjQJMTExuOWWWwAAY8aMQUJCAp5//nmcOHECSUlJmDJlCqKjo9G9e/cravL29UbfTz9Eeng08ORj2P3Blw3/syFZMdTITMk5NUREf1L3OTU5OTl46KGH0KlTJwwdOhQJCQnYvHkzhg8fDgB49dVXcdttt2H8+PEYNGgQwsLC8OWXjiHjo48+Qu/evTFmzBgMHjwYarUamzZtglqtBgDceuutWLNmDb766it0794d8fHx0Gq12LRpE7y8vGqsKyAkCIM3rEN6m84IXPo0vnvmZd4I041IQrjxutUyKioqgp+fHwoLC2EwGJz2Pre9uRtxrfyxeFw3p70HEVFTUrT5R5ybNQsd9+2F8k9XLDVVVosV3/ztaXT66WsAQMmLb+KmsfLcOogc1eXzmyM1MlMpFLDy9BMR0SX2icKe87NRqVLizreX4o97pgIATAvnI+HrrVyB2MUYamTG2yQQETmS7BOFPc+YF55CwPc/otRHD995T2DbLcO5no0LMdTIjHNqiIj+pAncpbshwtpGYsiWH1D0wqvQmIzIf/Av2PPRBleX1Swx1MhMpZRg5kgNEdElDbxNQlOg0WnR+5543PDNRpxrHYOgxQvw1d0P4UTCYVeX1qww1MiMc2qIiP7Ms0dqLhcQEoTbNqzBmUlPIOh0Kooenohd76+/Yt0bcg6GGplxTg0R0Z944ETha1GqlIif/xhu+PFHnIvqgOCXnsF3Y+7CiV8Pubo0j8dQIzPOqSEicmSfKNw8Mo2dIdAPt33zOS7MewGG3PMwPfQXfDPyDpw+dNzVpXkshhqZqXjvJyIiRzLdJqEpUigUGDTlbty0fRsypz0Jw8ULyHnwL9i/bpOrS/NIDDUyUykUvE0CEdHlPPzqp9rw9vXG8CcfQdzGb5ETFgXDM3OwYcIjXI1YZgw1MlMpJFg5UkNEdIlU9VHDU/MICAvCiK8/x6m/TENIajIqHrgHX939EI79kuzq0jwCQ43MlAoJFv6P22wsXboUkiRh9uzZAIDTp09DkqQat3Xr1rm2WCJXsZ994i98QOXl36MXzkX3XbuQ8cBjCDp9DOLhCfj+1pH45qkXOOemARhqZMY5Nc1HQkICli9fjri4OPu+yMhIZGVlOWwLFy6Er68vRo0a5cJqiVyneqIwM40jb19vjHr6cdy8excyps6GReeNVps+R+m9Y7FhwiM4d/y0q0tschhqZMY5Nc1DSUkJJk6ciJUrVyIgIMC+X6lUIiwszGHbsGED7r33Xvj6+rqwYiIXasYThWtD66XDiL//FXd8vwEdf96L9AceQ/jvSbgw7jZ8/cQCXMzOc3WJTQZDjcyUnFPTLMycORNjxozBsGHXvitvYmIikpOTMXXq1EaqjMgNcaJwrfn4+WLUv55A563bcObWOxD900Zk3DoIG+6dwpGbWmCokZmKc2o83tq1a5GUlIQlS5Zc99j33nsPnTt3Rr9+/RqhMiL3I4S4FGb4s7HW/FoEYOybixH27SZk3DUZYScOIeeu2/HNPxYhP+uCq8tzWypXF+BplJxT49EyMjIwa9YsbNmyBTqd7prHlpeXY82aNXjmmWcaqToi93H8ofth+S0Z0mU/DyWVe3zk2Gw2WExmVJRVwFhaBmNZBUzlRlhNJlgsFgirDQqlCkqVApJSCaVKBYVKCWXVVvlc9X4FlColgMrsJoSAQiFB66WDUq2CQnH1sYPqOkwVRpgrqr4ajbAYzTAbTbAYjbAYTWg1uB8qbuyGrGVvo/3G1Ti/cTUOGVrA5+lncdPYa48WNzfu8S/Mg6gUEufUeLDExETk5OSgR48e9n1WqxW7du3CW2+9BaPRCKWy8gfc+vXrUVZWhoceeshV5RK5jDntFAyDh0A/9FZAqYLS3w+qiIg6t2Msr0BxXiFKC4pQerEQ5QVFMJaUwlJuhKm4GJbiElhKSmArKYWttBiirBhSeQmUFaVQG8uhNhmhsligtlqgtlihtlqhtlqueZpCQuXsH0t1X+rR/2rVY1PCPq/oEmUtTsdVf0hrABgu2x9alAvMewLWMYftoYoYamSnUig4p8aDDR06FCkpKQ77pkyZgpiYGMybN88eaIDKU0933HEHgoODG7tMokYjhEC52YriCguKK8woLK/8GppXgJLt23E0IgY2kwk2owm2jTshTCYIkxnCbATMRgiLGTCboDCWQVVRBrWxHFpTBbQmE7xMZmhsVvt7SQC8q7ZqZoUC5WoNKjQamDQamLResOq8YfH1hzW4FYzeekg6HSStFgqNBgqtFgqtDkqdFkqtBkqdFmovLyg16spNrYakkGCzWGGzVm7i8u+tVtgsNvv31VtlgVLlZrPBajLDZq6KQ/aPBBuE/QycgKRUQqHRVL23pnLTVj5WaTVQVX2vUCgghIDNagOEgKga4fGPCGWg+ROGGpnxhpaeTa/XIzY21mGfj48PgoKCHPafPHkSu3btwvfff9/YJRJBCIH8UhOyiyqQU2REsdECk8VWtVlhstrsj41V2+X7TH96bLTaYDQ7vq76e6PFVuMvcj9UfQ1duwIWhRIWpQIWpQoWpRJWpQJWpQo2pQpWpQpCpYJV6w1TUBjMXnpU+Oih8PWFUu8LtV4Ptd4XOj89vPwN8A4wQK3VwtvPF/ogf+i8vRr3D5fcGkONzCrn1HAyXHP3/vvvo1WrVhgxYoSrSyE3Vj3KUWayosxoRanJUvn9ZV9LjVaUmyqfq/5aZqx8zaV9l73GaEGZ2VrjhUaSBGiUCmhUCmhVCvv39k2pgFaltD/281ZDq3R8vvK1l47RqhTQ61TQ61Qw6NTQ69TQ61TwffYgvNRKqDmSQI2IoUZmKoUEK+fUNCs7duy4Yt/ixYuxePHixi+mmRFCwGwVKCg3odxUeQrAbBUwW22wWAVMVhssVlvlPpsNZosNFlvl82arqHrOduk1NgGTxQaL7dK+6rYuHWODySKqjrE5vJ/9eJuA2WKD2SZgswnYhIAAYLNVfhUCsNoEKiw1h4/LKSTAR6OCt1YJb40K3hpl1aaCr1aFEL0OPjU8F+SrQahBh1CDFnqdGhqlAmqldOmO2UQeiKFGBkaLFbuP56LCYsWx7GKefqImTwiBnGIjUrOLkV1YAeMVpyasDqchjFXfV3+4i6o2qj/AxWXtwr5PoPpqX1F1hM0GmG1XBoTLA4qlOqBYhSzz19RKCSpF5Qe+WqmAWqmASilBU/W18rECmqrjqp/TqhTw1aqqXiNVHaOASiFBrVJArajcp1RIkCRAIUmQUPW16rHXZSHER6OEt9YxmHhrlNCqFAwiRLXEUCOD7cdyMOOTJPvj1kHe1ziayL2dL6rAX5bvxem8Mvs+lUKyn25QKxX2D/U/n5ao/oCXIEFSVH6ISxIqH1d9Llc/rvqv8t5YVfsVknRFKLAHDIVj2FApK49RKxXw0apg0KkACZUhRHEpoPw5rFy+T6XgyAWRJ2GokYHRUjmH5tenh8JXq4KW55CpibJYbXhizQGUm61Y9kBPxITp0SrACyol1+kkIvfHUCMjvVYNLw0DDTVdL/+YisT0i1g7vQ9uah3o6nKIiOqEv34REQBgy9HzWL7zD/wzPoaBhoiaJIYaIkJ6Xhme/DwZI7qE4pGBbVxdDhFRvTDUEDVzFWYrHluTCH9vDV6+5wZOnCWiJotzamTEzwJqihZ//zuOny/Bl4/2g5+X2tXlEBHVG0dqiJqx/FIT1uxPx9zhHRHb0s/V5RARNQhDDVEz9n1KFgSAu3u2cnUpREQNxlAjg1rcPZ7ILW1MzsSA9i3Qwlfr6lKIiBqMoYaomTp7sQy/ns7H2BsjXF0KEZEsGGqImqlvDmZBp1ZgRNcwV5dCRCQLhhqiZiinuALrEzMwrHMofLW8CJKIPANDDVEz8+ORbAx8cTtyio14eAAX2iMiz9GgULN06VJIkoTZs2fb961YsQJDhgyBwWCAJEkoKCioVVvnzp3DAw88gKCgIHh5eaFbt2747bff7M8LIfDvf/8b4eHh8PLywrBhw3DixImGlC8bAc4UpqahzGTBv78+gj5tg7Bn3q3oERXg6pKIiGRT71CTkJCA5cuXIy4uzmF/WVkZ4uPjsWDBglq3dfHiRfTv3x9qtRo//PADjh49iv/+978ICLj0A/ell17CG2+8gWXLlmH//v3w8fHByJEjUVFRUd8uEDU77+xIQ36ZCYvujOVCe0Tkcep1Mr2kpAQTJ07EypUrsWjRIofnqkdtduzYUev2XnzxRURGRmLVqlX2fW3aXBoWF0Lgtddew7/+9S+MHTsWAPDRRx8hNDQUX331Fe677776dEN2XFGY3FlGfhmW7/oD0we2RWSgt6vLISKSXb1GambOnIkxY8Zg2LBhshSxceNG9OrVC/fccw9CQkLQvXt3rFy50v78qVOnkJ2d7fB+fn5+6N27N/bu3Vtjm0ajEUVFRQ4bUXO25td0+GiUeOyWdq4uhYjIKeocatauXYukpCQsWbJEtiL++OMPvPPOO+jQoQM2b96MRx99FH/729/w4YcfAgCys7MBAKGhoQ6vCw0NtT/3Z0uWLIGfn599i4yMlK1eoqbol7Q8DOwQDG8Nr3YiIs9Up1CTkZGBWbNmYfXq1dDpdLIVYbPZ0KNHDyxevBjdu3fH9OnTMW3aNCxbtqzebc6fPx+FhYX2LSMjQ7Z6/4wrCpO7K6owI+VsAfq2C3J1KURETlOnUJOYmIicnBz06NEDKpUKKpUKO3fuxBtvvAGVSgWr1VqvIsLDw9GlSxeHfZ07d0Z6ejoAICyscnGw8+fPOxxz/vx5+3N/ptVqYTAYHDZnk8BJNeSeEk7lwyaAvm0ZaojIc9Up1AwdOhQpKSlITk62b7169cLEiRORnJwMpVJZryL69++P1NRUh33Hjx9HdHQ0gMpJw2FhYdi2bZv9+aKiIuzfvx99+/at13sSNSd70/IQ4adDdBAnCBOR56rTyXW9Xo/Y2FiHfT4+PggKCrLvz87ORnZ2Nk6ePAkASElJgV6vR1RUFAIDAwFUhqNx48bh8ccfBwDMmTMH/fr1w+LFi3Hvvffi119/xYoVK7BixQoAsK+Fs2jRInTo0AFt2rTBM888g4iICNx5550N+gMgag5+SctDn3ZBkHiJHhF5MNlXFF62bBm6d++OadOmAQAGDRqE7t27Y+PGjfZj0tLSkJuba3980003YcOGDfj0008RGxuLF154Aa+99homTpxoP+Yf//gHnnjiCUyfPh033XQTSkpKsGnTJlnn9tQX59SQOzuTV4rfs4t46omIPJ4kRPP4SC4qKoKfnx8KCwtln1/zReJZPLnuII4vGgWNineeIPdxsdSEu975BUIIfP34AC64R0RNTl0+v3ltp4w4sk/uZn3iWWQWlOPHOYMYaIjI43FYgciD/Z5VhM7hBkQH+bi6FCIip2OoIfJgv2cXIyZM7+oyiIgaBUONDJrFpCRqcsxWG9JyShhqiKjZYKgh8kBmqw2Lvj0Kk9WGuEh/V5dDRNQoOFFYRpwnTO4gp7gCM1cn4UB6AZ4f2xU9ogJcXRIRUaNgqCHyIEnpFzHj40QAwGd/7YOe0YEuroiIqPEw1BB5CKPFihkfJ6JlgBeWP9gTIXrXL0xJRNSYGGpk0EzWLyQ39/WBTOQUG7FmWh8GGiJqljhRWEa8rw65is0msGL3HxjWORTtQ3xdXQ4RkUsw1BB5gO8PZ+FkTgn+Oritq0shInIZhhqiJq6owoznvzmKYZ1DcVNrTgwmouaLoYaoifvv5lSUGC14fmxXV5dCRORSDDUy4DRhcpWTOcX4aN8ZzB3eERH+Xq4uh4jIpRhqZMRpwtTY3vzpJMINOjzYN9rVpRARuRxDDVETlZFfhm8OZuLRIe2gVSldXQ4Rkcsx1BA1UYfPFcImgNHdwl1dChGRW2CokQMn1ZALpOeXwVerQqCPxtWlEBG5BYYaoiYqPb8MkYHeXPSRiKgKQ42M+NlCjSnjYjmiAnnFExFRNYYaoiaouMKMo5lFiA7ycXUpRERug6GGqAl69usjqDBbMbF3lKtLISJyG7xLtwwEZwpTI8kvNWFtQjq+PHAOr/7lBo7UEBFdhqFGRpywSXIoLDPjyXXJMFsFArzVCNZroVUpsfePPCSlX4QQwAN9ojCueytXl0pE5FYYaojczOpfz2DXiVwM6RiMzIIKHDxbiOIKM3pGB2DpXd1wS6cQhBh0ri6TiMjtMNQQuRGz1YaPfjmDcTe2xIt3x7m6HCKiJoUThYncyPcpWcguqsDDA9q4uhQioiaHoUYGgvOESQZCCLy35xQGdmiBTmF6V5dDRNTkMNQQuYnEMxdx6GwhHu7PURoiovpgqCFyE+/tOYW2wT4Y3DHY1aUQETVJDDVEbiAjvwybj2Tj4f5toFBwaQAiovpgqCFysbwSI2auSUKAtwbje3DtGSKi+uIl3TIoqjDDR6N0dRnkxmw2ga8PnsOvpy6iTQtvdAjRo0d0AEqMFjz43n4UlVvw0dSb4cV/R0RE9cZQI4MykxV6ndrVZZCbstoE/rH+EL5IOov2Ib74OvkcykxWKBUSvDVK+HmpsX5GX7RuwVseEBE1BEONDHhJN12N1Sbw93UH8VXyObx+340Ye2NL2GwCZy+WY9eJCziZU4JHh7RDKFcIJiJqMIYamfC2T1STj/eexobkc3jjvu64/YYIAIBCISEqyBsPBEW7uDoiIs/CicIy4EAN1SSvxIhXthzHhJuj7IGGiIich6FGJhyoocsJITDvixQoFBKeGtHJ1eUQETULPP0kB06qoSpCCGz9PQcrd/+BX0/l492HeiHQR+PqsoiImgWGGplInFTT7P16Kh8vbjqGxDMXcVPrACx/sCeGdQl1dVlERM1Gg04/LV26FJIkYfbs2fZ9K1aswJAhQ2AwGCBJEgoKCq7bznPPPQdJkhy2mJgYh2OGDBlyxTEzZsxoSPmy4ThN82ax2vDEpwdw7/K9MFqs+HjqzVg3ox9Gdg1zdWlERM1KvUdqEhISsHz5csTFxTnsLysrQ3x8POLj4zF//vxat9e1a1ds3br1UmGqK0ubNm0ann/+eftjb2/velROJK//bjmO71Oy8Mq9N+DOG1vyNgdERC5Sr1BTUlKCiRMnYuXKlVi0aJHDc9WjNjt27KhbISoVwsKu/Zutt7f3dY9xBU6pab42H8nGOzvSMH9UDO7iLQ6IiFyqXqefZs6ciTFjxmDYsGGyFXLixAlERESgbdu2mDhxItLT0684ZvXq1WjRogViY2Mxf/58lJWVXbU9o9GIoqIih81ZBATXqWmGTuWW4qnPDyK+aximD2rr6nKIiJq9Oo/UrF27FklJSUhISJCtiN69e+ODDz5Ap06dkJWVhYULF2LgwIE4fPgw9Ho9AOD+++9HdHQ0IiIicOjQIcybNw+pqan48ssva2xzyZIlWLhwoWw1ElUTQuDwuSI8te4ggvVavHxPHCeKExG5gTqFmoyMDMyaNQtbtmyBTiffsu6jRo2yfx8XF4fevXsjOjoan3/+OaZOnQoAmD59uv2Ybt26ITw8HEOHDkVaWhratWt3RZvz58/H3Llz7Y+LiooQGRkpW82XE4IrCns6m03gQEYBNh3Owg+Hs3H2Yjla+GqxZlpv3veLiMhN1CnUJCYmIicnBz169LDvs1qt2LVrF9566y0YjUYolQ2/y7C/vz86duyIkydPXvWY3r17AwBOnjxZY6jRarXQarUNroWaJyEE0vPLsP9UPn49lY89J3KRXVSBFr5ajOwaitHdwtG7TSBUSq5fSUTkLuoUaoYOHYqUlBSHfVOmTEFMTAzmzZsnS6ABKicip6Wl4cEHH7zqMcnJyQCA8PBwWd6zIQQAiWsKewyz1YbZa5PxXUoWJAnoHGbA6G7hGNk1FL1aB0LJq5uIiNxSnUKNXq9HbGyswz4fHx8EBQXZ92dnZyM7O9s+ypKSkgK9Xo+oqCgEBgYCqAxH48aNw+OPPw4AeOqpp3D77bcjOjoamZmZePbZZ6FUKjFhwgQAQFpaGtasWYPRo0cjKCgIhw4dwpw5czBo0KArLiknagiz1YbH1yRh+7ELeOnuOIzsGgY/L55eIiJqCmRfUXjZsmUOE3QHDRoEAFi1ahUmT54MoDKk5Obm2o85e/YsJkyYgLy8PAQHB2PAgAHYt28fgoODAQAajQZbt27Fa6+9htLSUkRGRmL8+PH417/+JXf59cI5NZ7h8kDzzgM9MLQzVwMmImpKJCGaxyorRUVF8PPzQ2FhIQwGg6xtL/3hGH44nIWdf79F1nap8dhsAnM/rzzltOyBngw0RERuoi6f37z3kwwEBGfUNGFCCCz85gi+PpiJtyZwhIaIqKnipRsy4TolTderW0/gw71nsHhcN4yJc/3EcyIiqh+GGjk0ixN4nun9PafwxrYT+OeoGEy4OcrV5RARUQMw1Mig8pJuamrWJ57F898exV8Ht8WMwVeudURERE0LQw01S5sOZ+Mf6w9iws2R+Gd8jKvLISIiGTDUyEAIwaGaJuTsxTI8te4g4mPDsOjObpwPRUTkIRhqqFmx2QT+vu4QDDoVlo6P4+rAREQehJd0y4ADNU3HB7+cxt4/8rDmkd4w8EaUREQehSM11GyczCnBi5uOYXK/1ujXvoWryyEiIpkx1MhAgOvUuDshBP6+/iBa+nthHicGExF5JIYaahaS0i/iQHoBnrm9C7w08txNnoiI3AtDjQw4p8b9rd6XjqhAbwzuEOzqUoiIyEkYasjjXSw14duULNzfOwoKXu1EROSxGGpkICDAKTXu64uksxBC4J6erVxdChERORFDDXk0i9WG1fvTMSo2HEG+WleXQ0RETsRQI4PKOTUcqnFHH+09g9N5pXhkYBtXl0JERE7GUEMeK6uwHP/9MRUP9I5GXCt/V5dDREROxlAjE86pcT/PbTwCb60Kf4/v5OpSiIioETDUyEAI4eoS6E+2p+Zg85Hz+PdtXXg7BCKiZoKhhjzSWz+dRK/oANwWF+7qUoiIqJEw1MiA4zTuJSn9IhLPXMRfB7fj7SuIiJoRhhqZ8MPTfew+ngs/LzWGxoS4uhQiImpEDDUy4JQa93Iipxidw/VcPZiIqJlhqJEJPz7dR26JESF6navLICKiRsZQIwPeJsG9lBqt8NGqXF0GERE1MoYa8jhlJgu8NUpXl0FERI2MoUYGQnDxPXdSbrLCh6GGiKjZYaiRAecJu5dSkxVeGp5+IiJqbhhqZMIbWroHIQTKTVaefiIiaoYYamTAS7rdR26JCSarDaEGratLISKiRsZQIxPOqXEPf1woAQC0C/Z1cSVERNTYGGpkwaEad1FUYQEA+HtrXFwJERE1NoYamXCgxj2UGitDjS/XqSEianYYamTAOTXuo9RkgUICdGr+0yYiam74k18unFTjFoxmG3RqJW8wSkTUDDHUkEepsFihVfGfNRFRc8Sf/uRRjGYbtCquUUNE1Bwx1MiAc2rch9Fig5bzaYiImiX+9JcJZ3C4h1O5JQjRc+E9IqLmiKGGPEaF2YrdJ3IxpFOIq0shIiIXaFCoWbp0KSRJwuzZs+37VqxYgSFDhsBgMECSJBQUFFy3neeeew6SJDlsMTExDsdUVFRg5syZCAoKgq+vL8aPH4/z5883pHzyMPv+yEOZyYphnUNdXQoREblAvUNNQkICli9fjri4OIf9ZWVliI+Px4IFC+rUXteuXZGVlWXf9uzZ4/D8nDlz8M0332DdunXYuXMnMjMzcdddd9W3fNnxCmLX2/Z7Dlr6e6FjKG+RQETUHNVr2dWSkhJMnDgRK1euxKJFixyeqx612bFjR90KUakQFhZW43OFhYV47733sGbNGtx6660AgFWrVqFz587Yt28f+vTpU+c+yEnwNgluYe8feRjSKZhr1BARNVP1GqmZOXMmxowZg2HDhslWyIkTJxAREYG2bdti4sSJSE9Ptz+XmJgIs9ns8H4xMTGIiorC3r17ZauBmi6bTeB0bik6heldXQoREblInUdq1q5di6SkJCQkJMhWRO/evfHBBx+gU6dOyMrKwsKFCzFw4EAcPnwYer0e2dnZ0Gg08Pf3d3hdaGgosrOza2zTaDTCaDTaHxcVFclWL7kfhUKCTq1EqdHq6lKIiMhF6jRSk5GRgVmzZmH16tXQ6XSyFTFq1Cjcc889iIuLw8iRI/H999+joKAAn3/+eb3bXLJkCfz8/OxbZGSkbPXWhCc8XC+ulR8STue7ugwiInKROoWaxMRE5OTkoEePHlCpVFCpVNi5cyfeeOMNqFQqWK3y/Jbs7++Pjh074uTJkwCAsLAwmEymK66kOn/+/FXn4cyfPx+FhYX2LSMjQ5baasLF99zDgA4tsO+PPJgsNleXQkRELlCnUDN06FCkpKQgOTnZvvXq1QsTJ05EcnIylEp5lqcvKSlBWloawsPDAQA9e/aEWq3Gtm3b7MekpqYiPT0dffv2rbENrVYLg8HgsJFnG9g+GGUmKw6kX3R1KURE5AJ1mlOj1+sRGxvrsM/HxwdBQUH2/dnZ2cjOzraPsqSkpECv1yMqKgqBgYEAKsPRuHHj8PjjjwMAnnrqKdx+++2Ijo5GZmYmnn32WSiVSkyYMAEA4Ofnh6lTp2Lu3LkIDAyEwWDAE088gb59+7r8yidyH10jDAjwVmPPyVz0bhvk6nKIiKiR1euS7mtZtmwZFi5caH88aNAgAJWXYE+ePBkAkJaWhtzcXPsxZ8+exYQJE5CXl4fg4GAMGDAA+/btQ3BwsP2YV199FQqFAuPHj4fRaMTIkSPx9ttvy11+vfEyYtdTKCR0CNXjTF6Zq0shIiIXkIRoHjNCioqK4Ofnh8LCQtlPRT217iBO5Zbii0f7ydou1Y0QAv2X/oTR3cLxr9u6uLocIiKSQV0+v3nvJ/IYqeeLkVlYgf7tW7i6FCIicgGGGvIIQgi88O1RRAZ6oW87zqchImqOGGpkwhk1rvXzyTz8fDIPz97WFTq1PFfhERFR08JQQ01eYZkZ8zccQo8ofwztHOLqcoiIyEVkv/qpOWoeU63dk8Vqw9zPk1FUbsGaR/rwKjQiomaMoUYm/CxtfMUVZjzx6QHsPpGLdx/qhchAb1eXRERELsRQQ02KzSaQnl+G/afy8PaONOSXmLBq8k0Y1DH4+i8mIiKPxlBDbi8jvwzrEs9i94kLSM0uRpmp8h5jQ2NCsGByZ7QL9nVxhURE5A4YamQgwEk1zrLhwFnM+yIFGqUCt8aEYFRsGDqFGXBDKz/4e2tcXR4REbkRhhqZSLyoW3b7/sjDk58fxF09WuH5sV3hreE/VyIiujp+SpBbyisxYtbaA+jdJggvjo+DUsHQSERE18Z1asjt2GwCT647CItV4LX7bmSgISKiWuFIDbmdj/edwY7UC/hgyk0INehcXQ4RETURHKkht1JhtuKt7SdxT89WGNKJqwMTEVHtMdTIgRc/yeaLpLPILTHi0SHtXF0KERE1MQw15DYsVhuW7/wDo2LD0JZrzxARUR0x1JDb2HYsB+n5ZXh0cHtXl0JERE0QQ41ceIFOg317KAsxYXp0a+Xn6lKIiKgJYqght1BhtmLb7+cxplu4q0shIqImiqGG3MKO1ByUmawYHcdQQ0RE9cNQQ27hu5RsxITpeXNKIiKqN4YaGfCK7oapPvV0G0dpiIioARhqyOXsp544n4aIiBqAoYZc7ttDWegcbuDaNERE1CAMNTLhFd31U26y4qdjORjTLczVpRARURPHUEMuxVNPREQkF4YacqnvUnjqiYiI5MFQIwMheP1TfWQWlGMrr3oiIiKZMNSQS6RmF2P8O78gyEeLe3q1cnU5RETkAVSuLoCaF5PFhme+Ooz1SWfRIcQXHz58M0L0OleXRUREHoChhurFZhPYcTwH3xzMwu9ZRWjp74Xbb4jAiK6h8NbU/M/KYrVh1toD2PZ7DhaM7owJN0de9VgiIqK64icK1ZnFasNT6w7iq+RMtA/xRe82gUjNLsbsz5Lho1FieJdQSJKE3BIjurX0Q1wrPxRXWPDxvjM4mlmEZQ/0xLAuoa7uBhEReRiGGplIzWihms9+y8DGg5l4Y0J33HFDhH1/el4ZNhw4hx8OZ0EhSQj302F94lm8vSMNAHBz60CsmdYHN7cJdFXpRETkwRhqZNCcrn0SQuD9PacQHxvmEGgAICrIG7OGdcCsYR0c9ucUVcBLo4Rep27MUomIqJnh1U9UJznFRqRdKMXYG1vW+jUhBh0DDREROR1DDdVJdmEFAKClv5eLKyEiInLEUEP1omhOk4iIiKhJYKihOlEqKsOMxWZzcSVERESOGGqoTgJ9NACAvFKTiyshIiJyxFAjAyEACc3jdIw91JQw1BARkXthqKE60amV0OtUyCsxuroUIiIiBw0KNUuXLoUkSZg9e7Z934oVKzBkyBAYDAZIkoSCgoIGtwkAQ4YMgSRJDtuMGTMaUj7VUwtfLU8/ERGR26l3qElISMDy5csRFxfnsL+srAzx8fFYsGCBbG1WmzZtGrKysuzbSy+9VK/aqWHUSgmlRouryyAiInJQr1BTUlKCiRMnYuXKlQgICHB4bvbs2fjnP/+JPn36yNZmNW9vb4SFhdk3g8FQn/KpAc5eLMPx8yXoEVXz3xEREZGr1CvUzJw5E2PGjMGwYcNkK6Q2ba5evRotWrRAbGws5s+fj7KysqseazQaUVRU5LBRwwgh8PSGwwg1aDG8K29ISURE7qXO935au3YtkpKSkJCQIFsRtWnz/vvvR3R0NCIiInDo0CHMmzcPqamp+PLLL2s8fsmSJVi4cKFsNV5Lc7j3U26JEa9vPYGdxy/gvUm9YOBtD4iIyM3UKdRkZGRg1qxZ2LJlC3Q6nSwF1LbN6dOn27/v1q0bwsPDMXToUKSlpaFdu3ZXHD9//nzMnTvX/rioqAiRkZGy1FwTT15gd9vv5/HUuoMoN1vx3O1dMLQzR2mIiMj91CnUJCYmIicnBz169LDvs1qt2LVrF9566y0YjUYolco6FVDfNnv37g0AOHnyZI2hRqvVQqvV1qmW+hLCM8dqTBYbXtx0DO/tOYWhMSF46e44BPk2zp8pERFRXdUp1AwdOhQpKSkO+6ZMmYKYmBjMmzevzoGmIW0mJycDAMLDw+v8ns7gaSM1GfllmLkmCb9nFeGZ27rg4f6tIXlaJ4mIyKPUKdTo9XrExsY67PPx8UFQUJB9f3Z2NrKzs3Hy5EkAQEpKCvR6PaKiohAYGAigMsiMGzcOjz/+eK3aTEtLw5o1azB69GgEBQXh0KFDmDNnDgYNGnTVy78bk6eN02QXVuC+FfugUABfPNoPca38XV0SERHRdcm+ovCyZcvQvXt3TJs2DQAwaNAgdO/eHRs3brQfk5aWhtzc3Fq3qdFosHXrVowYMQIxMTF48sknMX78eHzzzTdyl19vnnKbhIIyEx56fz+EEPj8r30ZaIiIqMmQhKdOCPmToqIi+Pn5obCwUPb1bWauTkJhuRmfPNJb1nYbW7nJionv7sOp3FKsm9EP7UN8XV0SERE1c3X5/K7zJd1Us6Y+3cRkseGx1Yk4ll2MT6f1YaAhIqImhze0lIFo4rNqKgNNEn4+mYflD/bEDZH+ri6JiIiozhhqZNCUT+BVB5pdxy9g+UM9MbBDsKtLIiIiqheGGpk0xcud/xxobukU4uqSiIiI6o2hRgZNcaSGgYaIiDwNJwrLpKmM0+QUVaCg3IyXNqUy0BARkUdhqJGBgHD7q59MFhte2XIcy3elQQhAo1Qw0BARkUdhqGkGckuMmPrhbzhyrhBzh3VE33ZBCNZrER3k4+rSiIiIZMNQIwMh3Pf0kxACf193EOculmH9o/1wIy/XJiIiD8VQ48GEEPjgl9PYnnoB703qxUBDREQejaFGBgLuc0m3zSbw4uZj+CElGwoJOJ1Xhof6RmNo51BXl0ZERORUDDUycYdIczq3FIu+O4ptx3Lwl16RUCokPHt7KG6J4WRgIiLyfAw1MnDlOjXHsouwctcpZBaU47cz+Wjhq8U7E3siPjbMdUURERG5AEONLFxzSffGg5mYt/4QQgxaxITpMWd4R0zp1wZeGmXjF0NERORiDDVNkNFixcubUvHunlO488YILLkrjkGGiIiaPYYaGQjROBOFzxdVYPW+M1jzazoulpnx7O1dMLlfa7eZpExERORKDDUycVauEELgQEYBPvj5NL5PyYJWpcD4nq0wqV9rtAv2dc6bEhERNUEMNTJwxjxhIQS+Sj6HD34+jYNnCxEd5I0Fozvj7l6tYNCpnfCORERETRtDjUzkHqj5z4+p+N/2NAzs0ALvT+6FIR1DoFDwNBMREdHVMNTIQAgBOWPNu7v/wP+2p+FfYzrjkYFtZWuXiIjIkylcXYAnsApAKdMoSsrZQiz54Rj+OqgtAw0REVEdMNTIQAgh26mhZTvTEB3kjadGdpKlPSIiouaCoUYGVpuAQobLn6w2gR2pObire0uolfyrISIiqgt+csrAJgSUMgzUZOSXodRkRVwr/4Y3RkRE1Mww1MjAZoMsIzVnL5YDAKKDvBvcFhERUXPDUCMDq0xzas4VlEGSgHA/LxmqIiIial54SbcMbELgz5nmQrERmw5noajCgvE9WiHMT3fddv64UIowgw4aFbMmERFRXTHUyMBmE/ZLuq02gY/3nsbSTcdgsQqolQos35mG/xvXDbffEHHVNsxWG344nI0B7Vs0VtlEREQehaFGBjYBJJ65iL+vO4hf0vJwrqAck/pGY+7wThAQePqrw3ji0wP4aO9pDO4YjMhAb5itAuVmK8pNFpSbbDh4tgBnL5bh7Yk9XN0dIiKiJkkSlcvheryioiL4+fmhsLAQBoNB1rZf3XIcPx49D6UC6BEVgLt7tnK4gkkIgZ+O5eD9n08h5WwhiiosACoX7PNWK+GlUcLgpcZTIzoiPjZc1tqIiIiasrp8fjPUNDIhBEpNVmhVCq5FQ0REdB11+fzm6adGJkkSfLX8YyciIpIbhwqIiIjIIzDUEBERkUdgqCEiIiKPwFBDREREHoGhhoiIiDwCQw0RERF5BIYaIiIi8ggMNUREROQRGhRqli5dCkmSMHv2bPu+FStWYMiQITAYDJAkCQUFBQ1uEwAqKiowc+ZMBAUFwdfXF+PHj8f58+cbUj4RERF5kHqHmoSEBCxfvhxxcXEO+8vKyhAfH48FCxbI1iYAzJkzB9988w3WrVuHnTt3IjMzE3fddVd9yyciIiIPU69QU1JSgokTJ2LlypUICAhweG727Nn45z//iT59+sjWZmFhId577z288soruPXWW9GzZ0+sWrUKv/zyC/bt21efLhAREZGHqVeomTlzJsaMGYNhw4bJVsi12kxMTITZbHZ4LiYmBlFRUdi7d2+N7RmNRhQVFTlsRERE5LnqfGfFtWvXIikpCQkJCbIVcb02s7OzodFo4O/v77A/NDQU2dnZNb5myZIlWLhwoWw1EhERkXurU6jJyMjArFmzsGXLFuh0OlkKcEabADB//nzMnTvX/riwsBBRUVEcsSEiImpCqj+3hRDXP1jUwYYNGwQAoVQq7RsAIUmSUCqVwmKx2I/dvn27ACAuXrzY4Da3bdtWY1tRUVHilVdeqVXtGRkZAgA3bty4cePGrQluGRkZ1/2sr9NIzdChQ5GSkuKwb8qUKYiJicG8efOgVCrr0lyt2+zZsyfUajW2bduG8ePHAwBSU1ORnp6Ovn371up9IiIikJGRAb1eD0mSavWaoqIiREZGIiMjAwaDoW4da0LYT8/RHPoIsJ+epDn0EWA/G0IIgeLiYkRERFz32DqFGr1ej9jYWId9Pj4+CAoKsu/Pzs5GdnY2Tp48CQBISUmBXq9HVFQUAgMDAVQGmXHjxuHxxx+vVZt+fn6YOnUq5s6di8DAQBgMBjzxxBPo27dvra+yUigUaNWqVV26a2cwGDz6H2E19tNzNIc+AuynJ2kOfQTYz/ry8/Or1XF1nih8PcuWLXOYoDto0CAAwKpVqzB58mQAQFpaGnJzc+vU7quvvgqFQoHx48fDaDRi5MiRePvtt2Wrm4iIiJo2SYjazLxpnoqKiuDn54fCwkKPTtbsp+doDn0E2E9P0hz6CLCfjYX3froGrVaLZ599Flqt1tWlOBX76TmaQx8B9tOTNIc+AuxnY+FIDREREXkEjtQQERGRR2CoISIiIo/AUENEREQegaGGiIiIPEKzDjXHjx/H2LFj0aJFCxgMBgwYMADbt2+3P5+Xl4f4+HhERERAq9UiMjISjz/++HXvH5WUlIThw4fD398fQUFBmD59OkpKSpzdnatyVj+v125jc0Y/d+zYAUmSatzkvKlrXTjr7xMAvvvuO/Tu3RteXl4ICAjAnXfe6cSeXJ2z+ti6desr/h6XLl3q7O5clTP/LgHAaDTixhtvhCRJSE5OdlIvrs9Z/bzjjjsQFRUFnU6H8PBwPPjgg8jMzHR2d2rkjD6ePn0aU6dORZs2beDl5YV27drh2Wefhclkaowu1chZf5f/93//h379+sHb2/uKm1fXSa1unOShOnToIEaPHi0OHjwojh8/Lh577DHh7e0tsrKyhBBC5Ofni7ffflskJCSI06dPi61bt4pOnTqJCRMmXLXNc+fOiYCAADFjxgxx7Ngx8euvv4p+/fqJ8ePHN1a3ruCMftam3cbmjH4ajUaRlZXlsD3yyCOiTZs2wmazNVbXHDjr73P9+vUiICBAvPPOOyI1NVUcOXJEfPbZZ43RpSs4q4/R0dHi+eefd/j7LCkpaYwu1chZ/az2t7/9TYwaNUoAEAcOHHBiT67NWf185ZVXxN69e8Xp06fFzz//LPr27Sv69u3bGF26gjP6+MMPP4jJkyeLzZs3i7S0NPH111+LkJAQ8eSTTzZWt67grL/Lf//73+KVV14Rc+fOFX5+fvWur9mGmgsXLggAYteuXfZ9RUVFAoDYsmXLVV/3+uuvi1atWl31+eXLl4uQkBBhtVrt+w4dOiQAiBMnTshTfB04q5/1bddZnNXPPzOZTCI4OFg8//zzDaq3vpzVT7PZLFq2bCneffddWeutD2f+XUZHR4tXX31VrlIbxNn/Zr///nsRExMjjhw54tJQ01j/bwohxNdffy0kSRImk6ne9dZHY/bxpZdeEm3atKl3rQ3RGP1ctWpVg0JNsz39FBQUhE6dOuGjjz5CaWkpLBYLli9fjpCQEPTs2bPG12RmZuLLL7/E4MGDr9qu0WiERqOBQnHpj9bLywsAsGfPHnk7UQvO6md92nUmZ/XzzzZu3Ii8vDxMmTJFrtLrxFn9TEpKwrlz56BQKNC9e3eEh4dj1KhROHz4sLO6clXO/rtcunQpgoKC0L17d7z88suwWCxyd6FWnNnP8+fPY9q0afj444/h7e3tjPJrrbH+38zPz8fq1avRr18/qNVqucqvlcbqIwAUFhba76PY2Bqzn/VW7zjkATIyMkTPnj2FJElCqVSK8PBwkZSUdMVx9913n/Dy8hIAxO233y7Ky8uv2ubhw4eFSqUSL730kjAajSI/P1+MHz9eABCLFy92Zneuyhn9rEu7jcVZ/bzcqFGjxKhRo+Qsu86c0c9PP/1UABBRUVFi/fr14rfffhMTJkwQQUFBIi8vz5ndqZGz/i7/+9//iu3bt4uDBw+Kd955R/j7+4s5c+Y4qxvX5Yx+2mw2ER8fL1544QUhhBCnTp1y+eknZ/6/+Y9//EN4e3sLAKJPnz4iNzfXGV24rsb4+XPixAlhMBjEihUr5Cy9Tpzdz4aO1HhcqJk3b54AcM3t999/FzabTdxxxx1i1KhRYs+ePSIxMVE8+uijomXLliIzM9OhzaysLPH777+Lr7/+WnTp0kU8+uij16xh9erVIjQ0VCiVSqHRaMRTTz0lQkNDxdKlSz2mn3Vptyn383IZGRlCoVCI9evXy9Y/d+nn6tWrBQCxfPly+76KigrRokULsWzZMo/oY03ee+89oVKpREVFhSx9dId+vv7666J///7CYrEIIZwXalzdz2oXLlwQqamp4scffxT9+/cXo0ePlm2+m7v0UQghzp49K9q1ayemTp0qS9/ctZ8MNX+Sk5Mjfv/992tuRqNRbN26VSgUClFYWOjw+vbt24slS5Zctf3du3cLALX64M7OzhbFxcWipKREKBQK8fnnnze4f9Vc3c/6tltXru7n5Z5//nkRHBzslPP1ru7nTz/9JACI3bt3O+y/+eabxYIFCxreQeH6Ptbk8OHDAoA4duxYvfv1Z67u59ixY4VCoRBKpdK+ARBKpVI89NBDHtPPmmRkZAgA4pdffql3vy7nLn08d+6c6NChg3jwwQcd5mvKxV36KUTDQ43q2ienmp7g4GAEBwdf97iysjIAcJj7Uv3YZrNd9XXVzxmNxuu+R2hoKADg/fffh06nw/Dhw6/7mtpydT/r225dubqf1YQQWLVqFR566CGnnK93dT979uwJrVaL1NRUDBgwAABgNptx+vRpREdH16oP1+PqPtYkOTkZCoUCISEhtX7N9bi6n2+88QYWLVpkf5yZmYmRI0fis88+Q+/eva9bV225up9yveZa3KGP586dwy233IKePXti1apVV7yHHNyhn7Kpdxxq4i5cuCCCgoLEXXfdJZKTk0Vqaqp46qmnhFqtFsnJyUIIIb777jvx/vvvi5SUFHHq1Cnx7bffis6dO4v+/fvb29m/f7/o1KmTOHv2rH3fm2++KRITE0Vqaqp46623hJeXl3j99dcbvY9COK+ftWnXE/pZbevWrfYhWFdyZj9nzZolWrZsKTZv3iyOHTsmpk6dKkJCQkR+fr5H9PGXX34Rr776qkhOThZpaWnik08+EcHBwbKOXrhDP//M1XNqnNXPffv2iTfffFMcOHBAnD59Wmzbtk3069dPtGvXTtbTia7s49mzZ0X79u3F0KFDxdmzZx2WInAFZ/6bPXPmjDhw4IBYuHCh8PX1FQcOHBAHDhwQxcXFdaqx2YYaIYRISEgQI0aMEIGBgUKv14s+ffqI77//3v78Tz/9JPr27Sv8/PyETqcTHTp0EPPmzRMXL160H7N9+3YBQJw6dcq+78EHHxSBgYFCo9GIuLg48dFHHzVir67krH5er93G5qx+CiHEhAkTRL9+/RqpJ9fmrH6aTCbx5JNPipCQEKHX68WwYcPE4cOHG7Fnlzijj4mJiaJ3797213Tu3FksXry40T8AL+fMf7PVXB1qhHBOPw8dOiRuueUWERgYKLRarWjdurWYMWPGVcOdszmjj6tWrbrqHBdXcda/2UmTJtXYz+3bt9epPkkIIZw/HkRERETkXM12nRoiIiLyLAw1RERE5BEYaoiIiMgjMNQQERGRR2CoISIiIo/AUENEREQegaGGiIiIPAJDDREREXkEhhoiIiLyCAw1RERE5BEYaoiIiMgjMNQQERGRR/h/qrda29juxowAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 1006 is a true island.  We will move it to adjoin the mainland in same county.\n"
     ]
    },
    {
     "data": {
      "image/png": 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4HvAIBsLHISgoGAADjiNhwCEiot4nJxEIHtr2Mg2iCJz8AYidBygUCAkJAcAxOI6EAYeIiHofQQAEZdv797wBVGQBcQsAACEh7MFxNAw4RETU+2h1gKGNsJL8NbD5H8Al/wdETgQA+PtbBiIz4DgOBhwiIqImOYnAd0uBYX8BLvuHdbOnpycABhxHwoBDRES9T3km4B7Qcvuuf1luHb/qTctlrEZNAYdjcBwHAw4REfUuoghkHwTCxjTfXpIGpGwExt0DqDTNdnl4eABgD44jYcAhIqLepSQVqC4AIsaf3yaKwE8PA97hlstTf8KA43hUchdARETUo07+AKjdgOgp57f9/hqQvgNI+AbQuLV4SlPAqaio6KEiqbsYcIiIqHfJPQyEjQaqC4HDH1suSxUkA5MfAvrPaPUpTWNwCgoKerJS6gYGHCIi6l0MNcDZXcAboyy9Nf1nAVMfAwbNa/MpTT04eXn5PVUldRMDDhER9S7h44CcP4BJD1oGFGvc232KNeDk59m6OpIIAw4REfUuUx8DpvwNUHT8PhvrGJzychsVRVLjXVRERNT7dCLcAOfH4JDjYMAhIiJqR1MPjhQq9BXYmrkVDeYGyc5JLTHgEDmBYzkVKKsxyF0GkdOSIuCcKTuDXdm7cLToKKb0mYIt57ZIUBm1hQGHyMFV1DXg2rf3YOZ/d2F7SqHc5RA5JXf38wOR9Xp9p59/MP8g1Ao1poRNwSVhl0CtVGNU0CgkFyVLWSZdgAGHyMHtSCmEwWRG/0AP3LbuIJ78/hjqDCa5yyJyKkql0vp5R2czNotmfHP6G2zN3AqzaEaUV1Sz/QU1BQjxCJGyTLoA76IipyWKImoMJlTXG1HXYEKdwYS6BhPqGz+vNzZ+bLBsN5kta+sJaPooQKkQoFYpoFEKUCsV1odGJUCjVEKtFKBSChAEAUrBcryi8aNaKcBFrYSrWgmFQoDBaEaDyfIwGM0wmMxoMInNv7ZuN6PBKJ7/vPHYpnOYRVheW6HAtpRCxPXR4dMl4/DxvnN4/qeT+D21GK/dGI+4Pl5y/zMQOZ3q6mr4+fm1e9wf+X9gZtRM6DS6VvdXGCow1HWo1OVRIwYcsmuiKKKuwYSKugaU1zagou78o7LxY1vbK+oaYDSL7b6GWinARaWEUilAFC2vKQKACJhE0Rou5KBUCNAoFVApL/ioUkCAAKPJDKNZhMks4v8uHwhBEHDLhChM6OeHZV8k4eq3fsfDlw/A3VP6QakQ2n8xIuqQjvTgiKKIqoaqNsMN2R4DDtmU2WwJKDUGI2r1lo/V9UaU1TagrNaAsloDymsbUFpjQGVdA/RGszWkVNZbQkpb4cJdo4SXqxo6VzW8XNXwdlMjSOcBr8avvVzV8HLTwFOrgqvG0pPS9FGrVsBVrYSLWgm1sv0rtaIonu9xaexF0Tf2tpjNIkyiJWiIImAyizCLlt6WeqMZdQYTzKIIjVIBtUoBtVKAVnVhb5DCsq/xc3Vjb5FGqYCiC8EkJtAT65dOwqtbTuOfv6Rgx6ki/PuG4Qj3bbm+DhF1nEKhgNlsRlVVVbvHHio8hJGBIy96jFk0S1UatYIBh1plNouoN5pQa7Bcxqk1mFBrMKJGb0JJjR4l1QaU1hisn1fVG6E3Nh1nObbp87YIAuDlqoaPmwbebmp4aFVw0ygRpPOAzqUpoKibhRgvVzW8G7/uSDCRiiAI0KqU0KoAaHvsZbtMo1Lg0dmDMHVgIB76IglXvPYbnpk/BNfE94EgsDeHqCuCg0OQm5tz0R4co9mIpMIk1Jvq4ePi0+Zx5yrPIcgtyBZlUiMGHCdgNovQG82orG9AelENXDVK6BtMqNYbUVVvRFV9A6oaP6/VNwaPhqbgYrwgwFjGotQajKhvuPhfFlqVAv4eWvh5aODrroG/pxYapQLuWiXcNCq4a5Rw0/7po0YFd60S7loVfNw08HJV89KJjY2N9sXGZZfg6e+P4+Evj2DrqUK8cHUcvN00cpdG5HCCg4NbDTiiKOJ4yXGU1JVAqVBiRMAIeGguflv52YqzmBo+1YbVEgOOnTGaLJdoyq1jSyyXcMprLdsqag3Ir6xHamE1csvrYWq8FHIxKoUATxcVPFxUcNdYekksl2pUCPR0sX7t1hhCXNXKC45p3Na430Orgq+7Bm4aJXsCHITORY3//GUELosNxN+/PYbZr/6Gh2cOwFUjQuGiVrZ/AiICAISEBAM4PwYnvTwdWVVZAIAh/kMQ5x/X4XMpBf7s2RoDjsREUUR9Q+M4kvrzA14tnxtbjC+prDNaP6+oa0BVvbHV87qqlfBuvFwT4KnFJf0DEObjCpVCgLYxkJhFEafyq3BJTABCvF3g6aKCp1YNF7WCYYQwb1goRkX64Knvj+Ox9UexcuNJ/GVMBG6ZEIk+3q6tPqdp7JFWxV/G1LtVG6qhHqCGeq8aybXJ2Jm1E9Fe0bg0/NJOn6usvuyil69IGgw4Evj3ryn46WieNci0NShWo1RA56qGzlVlGVfiooa/pxb9At3h6WIZW+LjpoGXm+VzbzcNfNws4034lzZJIcTLFWsWjUZGcQ0+2ncOn+w/hzW70jBzcBBunRiFCX39rGHYbBbx4BdJ2HGqEEun9cPtk6L5fUi9Um1DLXbn7EawKRhKDyX8Kvy6FGyapJandqq3h7qGAUcC21MK4aJW4tqRfawDYnUuzYMMQwrZkyh/d/xj3mA8PHMAvj2cgw/2ZOCmtfsxMMgTiyZG4pr4PvjnLyn48Wgurhgagv/8ehof7T2H/7t8IK6J78OxU9RrmEUztmdtx5zoOdjpthP1mfWoqa7p1jnrjHVwVbXea0rSYcCRgAABIyK8cN9l/eUuhahT3LUq3Dw+EgnjIrA3rQTv78nAP747hhd+OolagwnPXR2HW8ZH4mxxDf75yyk88tURvLv7LJbN6I9gnUuL80X5u8PLVS1DS4ikd7LkJDKrMjEtfBoUgsK6HlVHZzJuTU1DDVQKvvX2BP5floAgAKI888ARSUIQBEyM8cfEGH9kldbi0wOZCPTU4pbxkQCAaH93vJ0wConnyrDy55O4+6PEVs+jUSkwc3AQrhsZhkv6+0PVg7fyE0nFLJrx89mfMTpoNGL9Yq3bmwJOR+bBaY3BZMCWc1twZb8rJamTLo4BRwKCIEBkwiEnEe7rhsdmD2p136hIH3x1zwSkFVXDYGz+PW8WRexJK8Y3iTm47f2D8PfQ4uoRoUgYH4lof/dWz0dkj/bl7cO08GlwVzf/vvX09AQAVFRUdOm8e3P34oq+V0AhMPj3BAYcCQhgDw71HoIgICbQs9V9cX28sOSSvjieW4lvDmXj28M5+OxAJtbeOhoT+/n3cKVEXWM0G1uEG+B8D05BQUGnz3mu8hx8XHygVvASbk9hjJSAIACNqxcR9XqCICCujxeeunIIfntsGkZF+WLxuoP49Xi+3KURtausvgw+2tZv4W4KOLm5eZ0+b0ZFBoYFDOtWbdQ5DDgSUAgCOrCmI1Gv46ZR4X+LRmNmbBCWfnIIXydmy10S0UWdKDnRbNzNhZoCTl7+xQNOg7kBP6X/hAN5B6zbeFmq5/H/uAR4iYqobRqVAq8vjMcNo8PwyFdH8N7us3KXRNQmk2hq8y6npjE41e0MMt6VtQuXR14OlUKFgpoCGM1G3jklA/4flwAvURFdnFIh4MVrhsLLVYNnfzyB8loDHpo5gDNsk11p72aRph6cizlXeQ5hnmFQK9UYGTQSv+f8jsNFhzE2eKxUZVIHMeBIQIAA5huiixMEAY/PGQRvNzVe2ngKFXUNeOrKIVBw0kCyE6nlqYjxjmlzf3sBR2/S41TpKcyKmmXdNqnPJMnqo85hwJGAIFhukSWi9t1zaT94uaqx4ttkVNQ14F/XD+d8OWQX8mryMCVsSpv7Lww4oii26IE8mH8Qk/tMtll91Dn8rSIBgR04RJ2ycGwE3lw4Ej8ezcOKb5M5jxTJriPfg+7u528d1+v1LfYP9huMsxUcY2Yv2IMjAQECBxkTddLcYSHQG014+MsjCPZyxcMzB8hdEvViR4qOYKj/0Iseo1Cc7xOorq6Gi0vz5UoyKjIwwIffx/aCAUcCCgUvURF1xbUjw5BfWY9XNqUgSKdFwrhIuUuiXqpcX44RLiM6fHxVVRX8/ZtPXllrrIWHpv2ByNQzGHAkIEDgJSqiLlp6aT8UVNTjH98dQ6CnC2YODpK7JOplMioy0MejT6ee09qCmwI4YN6ecAyOBAQBHIRD1EWCIODJK4dg1pBg3P/ZISSeK5O7JOplMqsy0d+nf7vHpaWlWT//+z+ebLGf04XYFwYcifAbm6jrlAoB//3LCAzr4407PziItKKWfx0T2UKDuaHDx+7YscP6+YED+21QDUmJAUcCCkGA2Sx3FUSOzUWtxNpFo+HvocWt7x1AYWW93CVRL3Aw72CHJ+EbMWIEAEDpGYAhgwe32O+h9kCV4eKzHFPPYcCRAGcyJpKGl5saH9w+FkaTiMXrDqKqvuN/XRN1ltFshMFsgIvKpf2DAQwZMgQKpRKmqiIEBgS02O/r4ouyel5itRcMOBLgWlRE0gn1dsX7t49BVlktln58CAYju0fJNrKrstHPu1+Hj3dxcUH/AYMAAAGtBJx6Uz20Sq1k9VH3MOBIQOBq4kSSGhSsw5pbRuPA2VK8+PNJucshJ5VekQ4/F79OPWfMqHgArQccvVHf4d4gsj0GHAlYltJhwiGS0oR+fnhsziC8vycDB86Wyl0OOSGdRge9qeWMxBfTNA7nz3PgAECFoQI6jU6K0kgCDDiS4EzGRLaweGIURkX64LFvjqLOYJK7HHIyo4JGYW/uXpjMHf/eago4rfXgAGixPhXJhwFHAlyLisg2lAoBLy8YhpzyOvxnc4rc5ZCTEQQB0yKmYWvm1g4/Z9y4cfjhhx8xbdq0FvvMIseL2RMGHAkouJo4kc3EBHrg4ZkD8O7usziUyTtUSFquKlf09+mPbZnbUFrf/qVQDw8PzJs3F35+zcfuHC85jiA3zsJtTxhwJMDFNols687J0RjaxwuPfn0U9Q28VEXSivaKxmURl+FQwaEuPf9A3gG4Kl0x0HegxJVRd3Qr4Lz00ksQBAHLli2zbluzZg2mTp0KnU4HQRBQXl7eoXPl5OTg5ptvhp+fH1xdXTF06FD88ccf1v2iKOLJJ59ESEgIXF1dMWPGDJw5c6Y75UuGl6iIbEulVOCV64bjXEkNXt9qHz/35HwG+w3G8eLjnXqOKIqoN9Wjr3dfG1VFXdXlgHPw4EGsXr0aw4YNa7a9trYWs2fPxooVKzp8rrKyMkyaNAlqtRobN27EiRMn8O9//xs+Pj7WY1555RW8/vrrWLVqFfbv3w93d3fMmjUL9fXyz3YqCJZvciKynYHBnnjgsv5YvSsdydkVcpdDTijUIxRl+s5dBj1RcgLRXtE2qoi6o0uriVdXVyMhIQFr167F888/32xfU2/OhWt2tOfll19GeHg41q1bZ90WHX3+G0YURbz66qt44oknMH/+fADAhx9+iKCgIHz33Xe48cYbu9IMyQgCL1ER9YR7pvbDpuP5+NvXR7DhvsnQqHiVnaQjiiIUnfi7P7koGSqFCuGe4TasirqqS78d7r33XsydOxczZsyQpIgNGzZg9OjRuP766xEYGIj4+HisXbvWuv/s2bPIz89v9npeXl4YN24c9u7dK0kN3WFZTJwJh8jW1EoFXrluGFILq/HW9lS5yyEnU1BbgEC3wA4fX6YvQ6xfrA0rou7odMD5/PPPcejQIaxcuVKyItLT0/HOO++gf//++OWXX7B06VI88MAD+OCDDwAA+fn5AICgoOYj1IOCgqz7/kyv16OysrLZw1bYg0PUc4aEeuGvU/vhre2pOJlnu59r6n0yKjMQqYvs0LF1xjpolBobV0Td0amAk5WVhQcffBCffPIJXFykm47abDZj5MiRePHFFxEfH4+77roLS5YswapVq7p8zpUrV8LLy8v6CA+3XRcibxMn6ln3XdYf/QI88Levj6DBxLlHSBpGsxFqpbpDx+7M2okxQWNsXBF1R6cCTmJiIgoLCzFy5EioVCqoVCrs3LkTr7/+OlQqFUymrt2+GRISgsF/Wno+NjYWmZmZAIDg4GAAQEFBQbNjCgoKrPv+bPny5aioqLA+srKyulRbR3CxTaKepVEp8M/rh+FEbiU+P5ApdznkJAR0bBbiPbl7MCZ4DJQKpY0rou7oVMCZPn06kpOTkZSUZH2MHj0aCQkJSEpKglLZtX/sSZMmISWl+Sylp0+fRmSkpaswOjoawcHB2Lr1/GyTlZWV2L9/PyZMmNDqObVaLXQ6XbOHrQiCwBE4RD1sWJg3ZscF48O953gXI0miI2Mpz1Weg4/WB36unVukk3pepwKOp6cn4uLimj3c3d3h5+eHuLg4AJbxMklJSUhNtQwAbApEpaXnZ4icPn063nzzTevXDz30EPbt24cXX3wRqamp+PTTT7FmzRrce++9AGCda+f555/Hhg0bkJycjEWLFiE0NBRXX311d/8fdBvX2iSSx83jInGmsJqLcVKPyazM5MBiByH5PZarVq1CfHw8lixZAgCYMmUK4uPjsWHDBusxaWlpKC4utn49ZswYfPvtt/jss88QFxeH5557Dq+++ioSEhKsxzz66KO4//77cdddd2HMmDGorq7Gpk2bJB0L1FWCIHAMDpEMJvTzQ19/d3yyn5epqGdwvSnHIYi9pG+3srISXl5eqKiokPxy1SNfHcHZ4hp8s3SipOclovb977d0vLzpFPYunw5/D63c5ZAD252zG5P7TG5zf1p5GjQKDcJ1nPemJ3X1/ZuzZEnAMsi4V+REIrtz3agwKAQBX/2RLXcp5MBSSlPanZE4pzqH4caBMOBIQBAAM/MNkSy83TSYNywUnx44BzN/EKmLcqtz0cejj9xlkIQYcCSg4F1URLJKGB+BrNI67DpTJHcp5IDMorndSfvSytO45pSDYcCRgMCJcIhkFR/ujdgQHT7ex8HG1HmiKEIQLj4HTnpFOteccjAMOJJgDw6RnARBwM3jI7DtVAFyy+vkLoccjFKhvOjdUQfyDiDOL64HKyIpMOBIgEs1EMlv/og+cFUr8e3hHLlLIQfU1izGx4uPw9fFFyEeIT1cEXUXA44EBIFXqIjk5qFVYUioF04XVMldCjkYg8nQ6rILBpMBJfUliPGJkaEq6i4GHAkI4GriRPagj48rcsp4iYo651TpKQzyGdRi+8H8gxgXMk6GikgKDDgSEHiJisguhPm4IodjcKiTyvXl8HbxbrZNb9KjwdwArZKTRzoqBhwJKNoZfU9EPaOPtyvyK+thMHI6feqenVk7LzqrMdk/BhyJsAOHSH59fFwhikB+Rb3cpZCD0Jv0zXppahpqsOXcFgz1HwqVQiVjZdRd/NeTgCAAIm8UJ5JdH29XAEB2eS0i/NxkroYcQU1DDTQKNxwrPobiumJ4qD1wadilUCvVcpdG3cQeHAkoBIFLNRDZgVBvV6iVApKzK+QuhRzEM9+dwfXvfg81vPHzfh9k5QUz3DgJBhwJcLFNIvvgolZiTlwIPj2QyXWp6KJEUcR3h3PwfVIxjJXxmPWvI/jyj2y8syNN7tJIIrxEJQHLJSoisgeLJkTiulW52HWmCFMHBspdDtmZcyU1+CYxG98m5SCr9Pwdd5f098e5klpE+PLSprNgwJGAIHAeHCJ7MSrSB7EhOny09xwDDlnllNfhtS2n8XViNtw1KlwxNATXXNcHY6N8oVBY7oSd98Zv8HW/+KKb5DgYcCRgmcmYCYfIHgiCgEUTIrHi22RkldYinH+R93rbUwpx90eJ8NSq8I95g7FwbARc1C1nLh4S4oW96SUwm0Vr6CHHxTE4EhC42CaRXZk/IhQeWhU+3n9O7lJIZnqjCc9sOI4xUT7Y+eg03DYputVwAwALRoUhs7QW+86W9HCVZAsMOBLgWlRE9sVNo8L1o8Lx5cEs1DeY5C6HZCKKIl7fegbZZXV4ct4QeGgvftFiTJQPInzd8HNyXg9VSLbEgCMBriZOZH9umRCJstoG/HiUb1a9UWmNAQ9+noS3tqdh2Yz+GBjs2e5zBEHAuGhf/JFR1gMVkq0x4EiAi20S2Z9of3dMGRCAj/ZmyF0K9TCzWcSdHxzErjNFeO3GEbjvsv4dfu4lAwJwKr8KZ4trbFgh9QQGHAlwKSoi+7RofCSOZFfgSFa53KVQD0rKLsehzHK8fmM85o/o06nnXj44CH7uGry3+6yNqqOewoAjAQG8REVkj6YNCkQfb1d8uJeDjXuTg2dL4a5RYlKMf6ef66JW4taJUfgqMQsl1XobVEc9hQFHApwHh8g+KRUCbh4fiR+O5qK0xiB3OdRD0otq0DfAA8ou3up9y/hICBDw8b5MiSujnsSAIwEutklkv/4yJhwA8OUfWTJXQj3BbBaRmFmGmECPLp/Dx12DucNC8MPRXAkro57GgCMBDjImsl++7hrMGxaCj/edg4nrUzm9H47mIrWwGgnjIrp1nhmxgUgtrEZeRV37B5NdYsCRgCCAq4kT2bErh4Uiu6wOueV8s3JmBqMZ//71NGbEBmJ0lG+3zjU4xAsAkJJfJUVpJAMGHAlYLvMy4RDZK42Kv+p6g19P5COztBb/d/nAbp8rzMcV/h5a7EsvlaAykgN/6iXAQcZE9o0/n73DN4nZiI/wRmyIrtvnUigETBngjx0phRJURnJgwJEIbxMnsl9NNwFwzirnVVhVj11nirFgZJhk55w6MBCn8quQVVor2Tmp5zDgSEAhcLFNInvW9PeHwITjtDYk5UIpCJg3LESyc86IDYS7RomvE7MlOyf1HAYcCXCxTSL71vTjyXjjvH48mofLBgXC200j2TndNCpcOTwUXydmw8w7SRwOA44EBFhWrSUi+9T088kOHOeVWVqLuD7dH3vzZ9ePDkdOeR32pJVIfm6yLQYcCbAHh8i+ne/BYcJxVraa42hkhDf6BbhzokgHxIAjAY7BIbJvQZ4uAIATeRUyV0K2MijYEwczyiQ/ryAIuGF0ODYdz0etwSj5+cl2GHAkwktURPYrNsQTQTotDp0rl7sUspGFYyOw83QRvrJBT0tcHy8YjGaUVHM9M0fCgCMBQRA4kzGRHRMEAa5qJeoaTHKXQjZydXwfzB0Wgr99fRTv7T4r6bkDPbUAgBzOhO1QGHAkoOBim0R2b1iYN/alc6CoM3vk8oHQKBV4edMp1BmkC7NR/u7QqhRIyiqX7Jxkeww4ErDcRSV3FUR0MTMGB+F4biWyyzhpm7OK9nfH5oenQG80Y+upAsnOq1YqMG1gIH46mifZOcn2GHAkIHCQMZHdmzYwAF6uary65YzcpZANRfq5Y1CwJ3amFEl63vkjQpGcU4G0ompJz0u2w4AjActt4ow4RPbM00WNJZdE4+fkPBiMZrnLIRuK9HNDboW042WmDQqEp1aFr/7grMaOggFHAlxsk8gxzBoSjFqDiVPvO7m8inqEebtJek4XtRK3TIjEe7+fRUp+laTnJttgwJGAAPASFZED6B/kiTlxwVj3+1n2ujops1lEbnk9vN3Vkp/7/sv6o6+/O+744CDSeanK7jHgSEAQuJo4kaO4cWwEzhRW40g2J/1zRr+eKEBxtR6XDw6S/NyuGiXWLhqN+gYTXtp4SvLzk7QYcCQggJeoiBzF5Bh/hHi5cOp9J1TfYMLTG47jskGBGBnhY5PXCPd1w1+nxmBHShEqahts8hokDQYcCSi4vA2Rw1AqBFw/KgzfH85BZT3foJxJUZUe+ZX1+MuYcAg2XFl13rAQGM1mbDzG28btGQOOBJp+jnhNn8gxJIyPhN5o5h0xTqaPtysCPLU4dE76NakuFKhzwaQYf7y/JwN6I2fHtlcMOBJoWqGYyzUQOYYgnQuuGBqCD/Zk2GwVaup5CoWASwcEYHtKoc1f6/E5g5BWVM15lewYA44E2IND5HhumxSFzNJabDtl+zdD6jnxEd5IK6qxeXAdEuqFZTMGYNXONC4BYqcYcCTQdK2X8YbIccRH+GBEuDfW/S7twowkr1AvV5jMIgqr6m3+Wvdc2g9jIn1x27qDOFPAuXHsDQOOBJqGsvFWcSLHctukKOxJK8Gp/Eq5SyGJhHi7AAByy20fcJQKAe/fPgZBOi2e/fGEzV+POocBRwLnL1HJWwcRdc4VQ0MQpNPigz0ZcpdCEgnzcYNCAE7m9UxoddOo8NjsQfjtTDGOZpf3yGtSxzDgSEBhw9sRich21EoFFk2IwjeHcpBfYfu/+Mn2PLQqTIrxxyf7M3tsAPnlQ4LRx9sV7zMo2xUGHAmwB4fIcd0yIRJuGiXe2p4qdykkkYdnDsDJvEp8uv9cj7yeUiHg1omR+PFIHoqq9D3ymtQ+BhwJcQwOkePRuahx95R++PxgJrJKa+UuhyQQH+GDhWMjsHLjKVT10GSOfxkdAaVCwGcHMnvk9ah9DDgSUPAuKiKHduvESHi5qvHGNs5p4iwemB6D+gYTfjzaM7MNe7mpcXV8H3y87xwaTOYeeU26OAYcCXAeHCLH5qZR4a9TY/DNoRyuEu0kQrxcERuis/msxhdaPDEKhVV6bDyW32OvSW1jwJEAZzImcnw3jYtAgIcWr21lL44zqG8w4VxJLaL83XvsNQcGe2JiPz+8z7mV7AIDjgSsN1Ex4BA5LBe1EvddFoMNR3KRks9J2xzd1pOFqNYbccXQkB593VsnRuFQZjlvGbcDDDgSaFpNXGTCIXJoN4wORx9vV7zw80mOo3Bw3x7OwfBwb0T3YA8OAMyIDeIt43aCAUcSjYOMmW+IHJpGpcCKK2Kx63QR3tzG28YdVVmNATtPF+KaEaE9/tq8Zdx+MOBIoOkSFW8TJ3J8VwwNwaQYPxzMKJW7FOqin5LzYBaBecN7PuAAllvGAeD7pBxZXp8sGHAkwCE4RM7l+lHh2JNW0mPT/ZO0vjucg0v6+8PfQyvL63u5qTF1YAB+6KFb1Kl1DDgSsM6Dw4RD5BTmDQtBH29XvL0jTe5SqJOySmvxx7kyXBPfR9Y6rhweiiNZ5cgs4eSRcmHAkQDnwSFyLiqlAn+d1g8/Hs3F8dwKucuhTvj1RAFc1ArMHBwkax3TYwPhqlbix+RcWevozRhwJGANOPKWQUQSumF0OPoFeODv3x7rsUUbqfvyyusQ6u0KN41K1jrcNCpMjw3ED0d4mUouDDgSEHiJisjpqJUKrLx2KJKyyvFJDy3aSN1XWmOAr5tG7jIAWC5TncyrxNniGrlL6ZUYcCRwfpAxEw6RMxkT5YubxkXglU0pyC2vk7sc6oDK+ga4a+XtvWkyOcYfaqWA384UyV1Kr8SAI4GmHhz2YhM5n8fnDIK7VokV3yZznJ0D6BfogVP59nH3m7tWhfgIH+w+Uyx3Kb0SA44ErD04/OVH5HR0Lmq8eM1Q7EgpwreHOa+JvRscokNBpd5uQs7kGH/sTS+BkTNj97huBZyXXnoJgiBg2bJl1m1r1qzB1KlTodPpIAgCysvL2z3P008/DUEQmj0GDRrU7JipU6e2OOaee+7pTvmS4W3iRM5temwQ5o8IxTM/nEBhVb3c5dBFDAjyBAAUVxlkrsRiUow/quqNOJrDu/F6WpcDzsGDB7F69WoMGzas2fba2lrMnj0bK1as6NT5hgwZgry8POtj9+7dLY5ZsmRJs2NeeeWVrpYvqfO3ictbBxHZzlNXDoFKIeCp74/LXQpdxGcHMuHvocHoKB+5SwEADA/zgqdWhd95marHdSngVFdXIyEhAWvXroWPT/NvomXLluHxxx/H+PHjO3VOlUqF4OBg68Pf37/FMW5ubs2O0el0XSlfchxkTOT8fN01eGb+EGw8lo+fk3nrr73afKIA18T3gYtaKXcpACxzKo3v54fdqQw4Pa1LAefee+/F3LlzMWPGDMkKOXPmDEJDQ9G3b18kJCQgMzOzxTGffPIJ/P39ERcXh+XLl6O2tu0ZIvV6PSorK5s9bIW3iRP1DnOHhmDWkCAs+yIJq3ZylmN7ozeakF9Zj5hAD7lLaWZyjD8OZZahqr5B7lJ6lU4HnM8//xyHDh3CypUrJSti3LhxeP/997Fp0ya88847OHv2LC655BJUVVVZj7npppvw8ccfY/v27Vi+fDk++ugj3HzzzW2ec+XKlfDy8rI+wsPDJav3zzjRH1HvIAgCXrxmKAxGM97iauN2p7BSD1EEgr1c5S6lmemxgWgwidh2qlDuUnqVTk0WkJWVhQcffBCbN2+Gi4uLZEXMmTPH+vmwYcMwbtw4REZG4ssvv8Qdd9wBALjrrrusxwwdOhQhISGYPn060tLS0K9fvxbnXL58OR5++GHr15WVlTYLOU2XqLiaOJHz8/PQYvUto3D3R4nYfKJA9iUB6Dy90XKnkpvGPi5PNQnzccPwcG/8nJyH+SPkXSOrN+lUD05iYiIKCwsxcuRIqFQqqFQq7Ny5E6+//jpUKhVMJpMkRXl7e2PAgAFITW37L6Rx48YBQJvHaLVa6HS6Zg9b4SUqot5lZmwQZg4Owr2fHMJnB1peTid5uKgtb2k1eqPMlbR0RVwwdqQU2WVtzqpTAWf69OlITk5GUlKS9TF69GgkJCQgKSkJSqU0qbm6uhppaWkICQlp85ikpCQAuOgxPUXR1IXDi1REvYJCIeDNm+Jx1YhQPLXhOPIreOu4PcgstYzL9PfQylxJS1cMDYHeaLaLy1SphdWoqHP+8UCdCjienp6Ii4tr9nB3d4efnx/i4uIAAPn5+UhKSrL2rDQFotLSUut5pk+fjjfffNP69SOPPIKdO3ciIyMDe/bswTXXXAOlUomFCxcCANLS0vDcc88hMTERGRkZ2LBhAxYtWoQpU6a0uE1dDk1jcDiTMVHvoVUp8dSVg+GmUeLN7WfkLocAfLzvHCL93BAbYh932F4o3NcNQ/t4YeMx+e/Am/GfnRj+zK/4z+bTTh3OJV+wY9WqVXjmmWesX0+ZMgUAsG7dOixevBiAJbAUF5+/ZS47OxsLFy5ESUkJAgICMHnyZOzbtw8BAQEAAI1Ggy1btuDVV19FTU0NwsPDsWDBAjzxxBNSl99FvERF1Bt5uqhxz6X98O9fU3D3lH4I93WTu6ReK62oGhuP5eOFq4dCeb5b3a5cMTQEr209jeJqvU17meoMJmw7VYhvDmVjf3oJfD008HbVYHZcMKbHBlqPe/e3dLy1PRV/GROOp68cAo3KuRY3EMResr5AZWUlvLy8UFFRIfl4nEOZZbj27T3YtOwSDAq2v78ciMh2ag1GTHllB2JDPLF20Wi7mX+lNxFFEXd+8AeO5VZg16PToFXZ579BaY0Bl/17B6YPCsK/bxhuk9c4lFmGuz9KRFGVHoOCPTEjNghGs4jUwmpsOVkAQbD8MX7ftBjcfWlffHEwCy9vOoXxff3w/NVxCPFytbug09X3b/tYctXBcakGot7LTaPCK9cNxdKPD+H+zw7j7YSRUCvt6w3C2X17OAdbTxVi7aLRdhtuAMtkkY/PHoTH1yfj+tFhGN/XT9LzV9Q24P++PIJQLxd8efcERPu7N9tfrTfigz0Z2JdeglFRPvB0UePOS/picIgOd32UiEv/uQNermq8vGAYBgV7IsLXDQo77Q3rCPbgSOBIVjnmv/U7fnpgMoaEekl6biJyDNtOFeCuDxPx16n98PDlA+Uup9eobzBh3ItbMW1gAF69MV7uctplNou4btUeVNYb8fMDl0jSW2I2i/g6MRsvbzoFg9GMb++d1OnJDgsq63G6oArv/56BrY0DoYeE6jAywgfuWhUenN4fCgWw+0wx/Dy0GB7mZb2D2NbYgyMjrkVFRJcNCsI9l/bD6l3puGFMOMJ8OB6nJ5wuqEJFXQMWTYySu5QOUSgEvHDNUMx7Yzf+tzsdf50a063zHckqx5MbjuNIVjmuie+D5XMGIVDX+XnqgnQuCNK5ID7CB0s/TsTAIE+kF9dgb3oJzpXUYHdqEWr0JpwtrgEAXDk8FP+6fphd95gx4EhA0UMplojs29Kp/fDlH1l48vvjWHPLKKh4qcrmghvfzAsr9TJX0nGxITrcPikKr289gyuHhXZpcHpJtR7//CUFX/yRhUHBOnx59wSMjfbtdm0eWhU+umNcs207UgqxYn0yhoZ54bUbR+BscQ3+9vVRAMAbC+2314w/fRLiTMZEvZu7VoWXFgzFztNFeHULbx3vCQGeWrioFcgqbXttQnu0bMYA+LhpsOLbZJg6OcfI/vQSTPvXDvycnIdnrxqCH+6bJEm4acvUgYHYs3w6Vt8yGsPCvDF/RB+svGYofjiSi+TsCpu9bncx4EiAl6iIqMllg4Lw0Iz+eGtHKvakcQVpW0strEZ9gxlRfxpQa+8sYXgYfk8t7tTCrSdyK/GXNfsQ5uOG7Y9MxS0TomTpKbw6vg/CfV2x9rf0Hn/tjmLAkYDQNA+OzHUQkX1YOjUG46P9sOzzJGQ0jlkg2/jxaB48tSpMGeAvdymddumAANw6MQqrdqahuFoPczs9OelF1bji9d8AAK8vHAE/GWdsVioEXBsfht2p9hviOQZHAorGmNhLbkgjB5GTk4PHHnsMGzduRG1tLWJiYrBu3TqMHj0aALB+/XqsWrUKiYmJKC0txeHDhzFixAh5i3YSSoWA124cgRvX7sO17+zBe4vHYES4t9xlOR1RFPFTch5mDgmy68GuF3PPpf3wyf5MjH5+CxQC4O2mgY+bGr7uGni5qlGtN6KwSo/0ohq4Ns6xdOXwUMQEespcORAT6IHSGgNKawzwddfIXU4LDDgSaOrB4VINZC/KysowadIkTJs2DRs3bkRAQADOnDkDHx8f6zE1NTWYPHkybrjhBixZskTGap1ToM4F39wzEYveO4DrV+3B5ocudbjLKPYupaAKqYXVWHHFILlL6bIgnQu+v3cSTuVXos5gRlmtJTCU1RhQVmuAv4cWvu4apBfV4IbRYVg6NQaBnvax1lZ8hDcA4MDZUsyOC5a3mFYw4EhA4GKbZGdefvllhIeHY926ddZt0dHRzY655ZZbAAAZGRk9WVqv4uOuwQvXxOGqN39HbkUdA47EfjqaBy9XNSbHBMhdSrfEhujscv2s9oT5uGFAkAe+O5xjlwGHY3Ak0JRveIWK7MWGDRswevRoXH/99QgMDER8fDzWrl0rd1m9kperWu4SnJIoivjpaB5mDQmyu6UFepNbJ0bh1xP5OJJVLncpLfC7QgLWu6jkLYPIKj09He+88w769++PX375BUuXLsUDDzyADz74QO7Sep2mtalO5FbKXIlz2XqyEOnFNbg6vo/cpfRqN4wOx5BQLzz0ZRLqDCa5y2mGAUcSnOiP7IvZbMbIkSPx4osvIj4+HnfddReWLFmCVatWyV1arxOkc8GiCZF4edMpHMosk7scp2A0mfHSplOYFOOHCRKv50Sdo1Yq8N+/DEdOWR3e3pEqdznNMOBIiJeoyF6EhIRg8ODBzbbFxsYiMzNTpop6tyfmDsawMG8s/diyyjN1z5d/ZCO1sBrL58T22HpI1LaYQE9cOTwUW08Wyl1KMww4Ejg/0R8TDtmHSZMmISUlpdm206dPIzIyUqaKejeNSoG3E0bCLAL3fXoIRpNZ7pIcVo3eiP9uOY2rR4Qirg8XN7YXg4I9kV5cLXcZzTDgSMA6yFjWKojOe+ihh7Bv3z68+OKLSE1Nxaeffoo1a9bg3nvvtR5TWlqKpKQknDhxAgCQkpKCpKQk5Ofny1W2UwvSueCtm0Yi8VwZXtp4Su5yHNZnBzJRUduA/+OK7Xalst4InYt9DahnwJFAUxcpO3DIXowZMwbffvstPvvsM8TFxeG5557Dq6++ioSEBOsxGzZsQHx8PObOnQsAuPHGGxEfH89xOjY0NtoXK66Ixf92n8UPR3LlLsch/ZSch8sGBXZpgUqyndTCKvQNsK9pEDgPjgR4BZjs0bx58zBv3rw29y9evBiLFy/uuYIIAHDbpCgcyS7HY98cRb8ADwwOdbz5T+SUW16HKf0de94bZ3QitxKXDQqSu4xm2IMjIZEXqYioHYIgYOW1Q9E3wB23vLsfpwuq5C7JYZTVGFBcbUCwl4vcpdCflFQbEKSzjxmWmzDgSEDgIBwi6gQ3jQof3T4OgToX3Py//civqJe7JIewamcatCoFZg62r54CAvw8NCiutq87BBlwJMDVxImos3zcNfjg9jFQKQTc+eFB1BqMcpdk13LK67BuTwaWXNIX/jKuok2ti/BzR0ZJrdxlNMOAIwFOw0BEXRHo6YL/3ToG6UU1ePiLIzBzxd42/efX09C5qLBkSl+5S6FWRPu54WxxjdxlNMOAIyHeRUVEnTU4VIfXb4zHLyfy8e/NKe0/oRc6mVeJ9Yez8cD0/vDQ8t4YexTt747MklqY7CikM+BIiIOMiagrZgwOwt9mDcTbO9KQeI7LOfzZK5tOIdLXDQvHRshdCrUh0t8dBpMZ+ZX2M56MAUcC52cylrcOInJcd0/ph+Fh3nj06yOorG+Quxy7sTetBNtTivC3WYOgVvIty175uWsAWO50sxf8bpGAdaI/mesgIselVAj41/XDUFilx5IP/kB9g32tzCwHs1nEiz+fxPBwb1wxNFjucugivF0tAaeyzn7COQOOBDjGmIikEBPoifcWj8GR7HI88NlhuxrPIIfvknKQnFOBJ+ZyUU175+NuWaahyI5uFWfAkQAX2yQiqYyJ8sXbCSOx5WQBXvml965ZVWcw4Z+/pGBOXDDGRPnKXQ61w9NFDU+tCjnldXKXYsWAIyHGGyKSwmWDgvD3uYOxemc6vknMlrscWbzyyymUVBvw+JxBcpdCHVCjN6JKb0SQp/3MMs377STQNNEfEw4RSeX2SVE4nV+F5euTEeXvhlGRvacXY+vJAqz7PQNPXTkYkX72tYAjte5UvmXJkUEhnjJXch57cCRgvUTFhENEEhEEAc9dHYcREd5Y9O4BJGWVy11Sj8gtr8MjXx3BjNhALJ4YJXc51EEn8iqhUgiICfSQuxQrBhwJcOgbEdmCRqXAusVjMCDYE/d8lIjCKvuZY8QWzhbX4IbVe+GmUeGV64ZzYLEDOZFbiZhAD2hVSrlLsWLAkQLnwSEiG3HXqrDq5lEwiSJuf/+g086RU1hVjxtW74VWpcCX90yAb+O8KuQYTuRVYnCoTu4ymmHAkRADDhHZQpDOBR/cNhbnSmpxpxPOkWMyi3jwsyQAwGd3jUcfb1d5C6JOMZrMOJVXicEhDDhOh6uJE5GtDQ7V4f3bxiA5uwJ/+/qoU4Wctb+lY//ZErx24wgE2tFdONQxGSU10BvN7MFxRpwHh4h6wqhIX6y8dih+PJqLyS9vw4ncSrlL6rac8jq8tuUMbpsUjYn9/OUuh7pgb3oplAoBQ0K95C6lGQYcCXAYHBH1lKvj+2D7/02Fj5sGD35+GJkltXKX1GWiKOLZH45D56rCshn95S6HuujX4/kY39cXXq5quUtphgFHAlyLioh6UpS/O95OGAmDyYzL/r0DUY//hLs+/AMVdrQOUEe8sS0VvxwvwJPzhsDTxb7eHKljymsN2JtWgllD7G+tMAYcCfEKFRH1lP5Bnvjh/sm4fnQ4AODXEwW48o3dqNEbZa6sY97dfRb/2Xwaj1w+AHOHhchdDnXRR3vPQaEQMCfO/v4NGXAkcP4SFRMOEfUcnYsaK68dioyX5uLnBy5BYVU9pv1rB17dchqFlfY7Z87nBzLx3I8ncM+l/XDvtBi5y6EuWn8oG29uT8XN4yIR4KmVu5wWGHAkIHAeHCKS2eBQHX68fzJmDA7C6p3pmPjSNtz36SEcOFtqNzdA1BqMePL7Y3h8fTIWTYjEY7MHcjI/B3U8twIPf3kEc4eF4NHZA+Uup1Vci0oCAocZE5EdiAn0xIvXDMVjswfhm8RsfLTvHG5YvRexITr887phiOsjz10uoijilV9S8NmBTNQ3mPDMVUNwy/hIhhsH9vG+TIR6ueCVBcOgUtpnX4l9VuVouNYmEdkRL1c1bp8cja0PX4oPbx8LpQJY8M4e/POXUz0+f87hzDIs/fgQ3tmRhhAvV/z8wCW4dWIUFAqGG0cliiK2nizA3GEhdhtuAPbgSMpOeoGJiAAACoWAKQMCMCbKF29tT8Wa39LxfVIuZsQGYeHYCAwMtt3Kz2U1Bvzj+2P48Wge+ga4Y8UVg3D7pGi7fkOkjsmrqEdhlR6jo+x7hXsGHAlwNXEismeuGiUemTUQc4YGY+7ru/H+ngxsOVmAH++fDC9XteSXirJKa/HSplPYmVKEVxYMw4JRYVCyx8ZpHGlc2T4+3FvWOtrDgCOBph9b9uAQkT0bEuqF5Kcvx9++OopNx/Mx4tnNcNco4eehxYS+fnjx2qFdCiINJjO+PZSDgxmlKK7WY3tKETRKBf42ayBuGBNug5aQnJJzKhCk0yJQZ9/LajDgSIAD5YjIUXi6qPHmTfE4nluJnPI65JTV4aVNp/DFH1l49uohUCqUHTpPncGEn5LzUF3fgF+OF2D/2RJE+bmjpMaA56+Ow/wRoZy8z0n5umtQXtuABpMZaju+5MiAIwFrD46sVRARdYxKqcDwcG8Mb7zEkFFSg28P57R7R2iN3ohDmWX46WgevkrMhlkUoVYqoHNR47Ml4zGur18PVE9yG9rHC3qjGelFNTYdx9VdDDgSspe5JoiIOuPGMRH4ZH8mBjyxEatvGYXLBgWioq4BhZV65JTX4cDZEhw4W4pjuZUwmUX4uWtw9Yg+uO+yGET5uUEUwbuiepFBwZZVw0/lVzLgODteoSIiRxbXR4cbRofhyz+ycfdHiS32h3i5YFy0L/4yJgJjo33RL8C92aV5/g7sXbzc1AjWueB0QZXcpVwUA44EONEfETkyQRDwynXDce+0GBzKLMMLP52Ei1qJRy4fiNFRPujj7cqxhk6gRm9EjcGIAA9tt/89fd01qKq373XPGHAkwKUaiMgZRPq5I9LPHdfEh8ldCtnAX9bsxbGcStw1pS9WXBHbrXM5wtud/Q5/dkCcB4eIiOxRjd6IYzmVAIA1u9K7fT6zWYTCznv12IMjIfbgEBGRvcivqMeWkwXYeboIm08UNNsX9fhPOPXcbLioOzYtwJ9V643wdLHvCGHf1TkIXqIiIiJ7YjKLGL9y60WPGfvCFuxZPh0e2s5Hgcr6Bgac3oCDjImIyJ4k51RcdP+cuGBsPJaPjcl5uH5089mmRVFEUZUeR7MroFQKMJpEeLmqUVpjQHZZLfRGM6r1Rnho7XsiRwYcCQhcTZyIiOxEQWU9HvjssPXrsVG+OJBRip8emIwoP3e4aZQQBAFRj/+EX44XoKhajzqDCe/tPouhYV5Iya9CWW1Dm+f3c9cgzMcVcX10PdGcLmPAkcD5tagYcYiISF5vbktFZX0DZsQGItrfHSuuiG31tvDLBgXieG4F/jhXivLGQHMqvwq3TYzGwGBP3PNx8zmRfN01mBkbhJevG9Yj7eguBhwJMd4QEZGcDpwtxXeHc7BwXES7t4K/t3iM9fOSaj1GPb8FoV6ueHBG/1aPL60xYHdqMURRdIh5kRhwJCDwGhUREcnsWE4Fbn53P0ZGeOPeqTGdeq6fhxYAcCKv0rrtsyXjUVhVj/kj+uCjvRn4x/fHkVNeh3MltYjyd5e0dlvgPDgSsP8cS0REzsxsFvHIV0fQL8ADH9w+Fl5u3R8APKGfH+aP6AMAWDDq/OSPu1OLu33unsCAI4HzHTjswiEiop6372wJTuVX4cl5g6FVdW1uG5/GUFRraLkEg5tGhQmNq8XvSXOMgMNLVBJoukTFMcZERL1bVmkt9qWXIKOkBm9tTwMAbFp2iXUF7j8ySvHpgUwYTSJUSgGzhgRj1pDgbr/u5wey0DfAHeP7+nb5HNfEh+G9388i8VwZLukf0GK/i9rSJ/J7aglMZhFKO19BngFHQsw3RES9V2FlPea9sRsVdc1vsZ796m849I+ZaDCZsXjdQXhoVYjyd0NlnRHrD+XgvmkxWDwpCqcLqvD8jydxuqAKggBcNyocz18d126QKKsxYNOxfDwya0C3Bv9eOTwE7/1+Ft8ezmk14JTXNSAm0AOphdVIPFeGsdFdD1M9gQFHQuzBISLqnc4W12Dav3YAAPYtnw5fdw0Wrt2HxHNlAIDiaj2e+eE4XNQK/LJsCrzc1BBFEW9uS8V/t5zGm9tTAQBjo33x5JWDUVJtwBvbzsBgNONf1w+7aHD59nAORIhYMLJ7i6TGhuis5/vPDSNa7K+oa8C0gYGorGvApmP5DDi9hQPcMUdERDawJ60Yi9cdhCBYZggO0mkhCAK+WToRpwuqcO3be3D5f3fBXaPE2kWjrQOABUHA/dP746ZxEdidWgxBEHBFXDBUSsuloCh/Nzz0xRFMGxSAecNCW33t0hoD/vdbOi4fEmy9E6qrmtalauuP9YraBvi4qTFrSDB+OZ6Pf8xrfX4de8GAIxEBHGRMRNTbnMqvxN0fJmJslC9W3zIK7n9a12lAkCd+fuAS/HoiH5cOCED/IM8W5/Dz0FrvVrrQNfFhWH8oB+t+z2g14JjMIh747DD0RjP+3s6cN5315zE2oiiioq4BXm4axIbo8NG+c3Z/uzjvopKIIAi8REVE1IvklNfh1vcOIMLPDataCTdNIvzccOclfVsNN+25cngoDmWWoahK32Lfv35NwZ60YryxMB6h3q6dPndrBgVbajx5wXw4AFBjMMFotqxJNTbaF0qFYPe3izPgSIj5hoiod6iobcDi9w5ArVRg3W1jurQid0dMHxQIAcDWkwWoaBz7snLjSazdlY53dqThsdmDMDHGX5LX+s/m0ziVXwUAuPODP5BaWGXdV9wYsHzdNPB0UWN4mJfd3y7erYDz0ksvQRAELFu2zLptzZo1mDp1KnQ6HQRBQHl5ebvnefrppyEIQrPHoEGDmh1TX1+Pe++9F35+fvDw8MCCBQtQUFDQnfIlJQAcZUxE1Es8ueEYiqr1+OD2sQj0dLHZ6/h5aDGhnx+e/+kk4p/9Ffd8nIjVO9Pxws8nER/hjbum9JXkdX44kovXt57BA9P747dHp0GjUuD1ranW/cdzLT06g0IsPTyTYvyxN60EZrP9vu91OeAcPHgQq1evxrBhzRfdqq2txezZs7FixYpOnW/IkCHIy8uzPnbv3t1s/0MPPYQffvgBX331FXbu3Inc3Fxce+21XS1fcnY8zqpdZrOIOoNJ7jKIiGxGFEXsSS3G90k53f59l5JfhQ1HcvG3WQPRL8BDogrb9vDMgbh8SBBevGYofnt0GvavmI6rhodi2Yzu3RbexGQW8c9fUjBzcBAemtEf4b5uiA3xRH5lvfWY7LJaaFUK+LhpAFgCTlltQ7OlHexNl/rUqqurkZCQgLVr1+L5559vtq+pN2fHjh2dK0SlQnBw65MdVVRU4N1338Wnn36Kyy67DACwbt06xMbGYt++fRg/fnyn2yA1AYKkl6jMZhEGk9nyMJpRZzChvsGEugYT6gyWj+e/Np//uvE4vdGM+gYT6ps+XrCtzmBCbeM5ag1G1DeYAQBPzhuM2ydHS9gKIiL5pRVV4x/fHcOetBIAgLebGosmRGHxxCj4ums6fb6fk/Pg5arGDaPDpS61VaMifTAq0qfZttcXxkt2/p+T85BZWos3b4qHIAioM5iwL70UiyZEWo8ZGekDvdGMvWklmNzfHyXVBgBAVX3LWY/tRZcCzr333ou5c+dixowZLQJOV505cwahoaFwcXHBhAkTsHLlSkRERAAAEhMT0dDQgBkzZliPHzRoECIiIrB37167CDgQgF+PFyCjuBYNJjMaGoNJU0BpaAwrDUaxlW0XHmfZb+pEt58gAK5qJVzUSriqldCqFdCqlHBRK+DS+NFDq4K/h+VzV7UKbholXDWW4900Svx78+lmaZ2IyBmIooiHv0hCaa0B/1s0Gv2DPPC/387ire2peHt7KmbEBuGf1w+Dp0vH1246kl2O+HBvqJWOP4zVbBbxxrYzmDIgAMPCvAEAvxzPR0VdA667YP2p0ZE+8HFT40BGKSb398eHezMwsZ9ft2ZOtrVOB5zPP/8chw4dwsGDByUrYty4cXj//fcxcOBA5OXl4ZlnnsEll1yCY8eOwdPTE/n5+dBoNPD29m72vKCgIOTn57d6Tr1eD73+/KjzykrbdqNN6ueH9OIaFFTWQ61UQK1SQKtUQK0SoFEqoFYq4KZVWbYpFdCoFI3HCdZtapXCcuwFz1UrLduawsifP7qoldCqFN3upvzf7rOdClVERPbMbBaRWlSNjcn5OJJdgfdvG4OpAwMBAM9dHYdlM/rjhyO5ePqHE5gY44dFE6I6dF5RFHEkqxy3TuzY8fYsv6Ier209jdMF1Vh57VDr9sOZZegb4I5Iv/O3gAuCgNFRvtiTWoyHZw6AySwizMfNeebBycrKwoMPPojNmzfDxUW6QVVz5syxfj5s2DCMGzcOkZGR+PLLL3HHHXd06ZwrV67EM888I1WJ7Vp329geey1bUAiAmYOkicgJ1DeYcOcHfzROngfcNaWvNdw08fPQYvGkaKzamY4nvz8OtVKBhWMj2j13ZmktymobMDzc20bV94xqvRE3rtmLiroGPDp7IEZFnu+JOZlXhSGhXi2eM39EKO779DC2pxTCw0WFan1Di2PsSaf61xITE1FYWIiRI0dCpVJBpVJh586deP3116FSqWAySTNQ1dvbGwMGDEBqqmUEd3BwMAwGQ4s7sgoKCtoct7N8+XJUVFRYH1lZWZLU5qwUnMeHiJzESxtP4UBGKVbdPBJ//H0GVlxkEjxPF8vf+cvXJyOrtLbdcydllQMARjReznFUH+zJQG55Pb796yT8dWpMs31ZZbWI9HVr8Zwr4kIwdWAAHvnyCEQRqNHb980pnQo406dPR3JyMpKSkqyP0aNHIyEhAUlJSVAqu7ZE+59VV1cjLS0NISEhAIBRo0ZBrVZj69at1mNSUlKQmZmJCRMmtHoOrVYLnU7X7EFtEwSBPThE5PC2pxTi/T0ZeGJuLGbHhbS7fEFTwAGA/2453e75j2RVINLPDT5dGJxsL0RRxGcHMnF1fGiLmYj1RhPyK+sR7tty4kCFQsDLC4ahqt6InaeLUFVv3z04nbpE5enpibi4uGbb3N3d4efnZ92en5+P/Px8a+9LcnIyPD09ERERAV9fSxfY9OnTcc011+C+++4DADzyyCO48sorERkZidzcXDz11FNQKpVYuHAhAMDLywt33HEHHn74Yfj6+kKn0+H+++/HhAkT7GOAsRPgJSoicnRGkxnP/XgCk2L8cMv4yPafADQbXHw4sxyFVfUXndcmKasMwx289ybxXBmyy+pwbSuLc+aV10MUgXCflj04ABCkc8H1o8Pwyf5MpBRUQRRFux2HI/kQ8FWrViE+Ph5LliwBAEyZMgXx8fHYsGGD9Zi0tDQUF5+fATE7OxsLFy7EwIEDccMNN8DPzw/79u1DQMD55dr/+9//Yt68eViwYAGmTJmC4OBgrF+/Xuryey2lQgDHGBORI1t/OAdni2uwfE7HF4H0uKAH52xxDca+sBWJ50pbPbawsh6HMssxLKzl+BRHsutMMXzdNRgb1fIOqKwyy2W6sDYCDgDcPaUfAKC+wYyc8jrbFCmBbs8t/ef5bp5++mk8/fTTF31ORkZGs68///zzdl/HxcUFb731Ft56661OVkgdYVlLiwmHiBzXJ/vOYeqAAMT16XgA0apa/p3/7A8n8P19k1tsP5BhCT5zhoZ0vUg7cKagCoOCPaFQtAyBWaV1UAhAiHfbvVgRfufDT2ZJ7UXDkJwc/yZ+koRCAMxmuasgIuqaYzkVOJJd0aE7oS60oJXLNEeyK3C2uKbF9hO5lQjWuaCPRAtbyiWvoh5hPq23IbusFiFeru3O8TMgyDKDc7Yd9+Aw4BAAy11UJvbgEJED+uV4Pu7/7DAifN1w2aDA9p9wgUPnylrdviEpt8W2t3ekOcWEqKU1Bvi6tz74Oqusrs3wc6H+gZY1qbLLGHDIznGQMRE5olU703D3R4kI9NTiw9vHQtXJ2YVdNZa7f/0uuCtKpRDwfVJOq5fto/zs83JMZ5RU6+Hv0fpdYHnldR3qoQprvMsqhwGH7J3AeXCIyMEczS7Hy5tO4b5pMfji7gktbnnuCA+tZShqRV0DYgItl10mNM5Mv/N0UbNjI3zdHH78TZ3BhBqDCX5tBJyKugZ4u7V/C7y7xvL/Lbus/bmD5MKAQwDYg0NEjsVsFvHk98cxMMgTy2b07/J5mu6iMppFa69GlJ87RoR7441tqdZenKIqPTJLa1sdlOxIDCbLYMu2ft1X1DU0mxuoLXqjZZI/e76LyrH/pUgyvE2ciBzF/vQSLHrvAI5kl+OZq4Z0+rLUhZp6cABA1zgnTn5lPR6YHoPEc2XYl265c2rbqQIA58eeOCovVzX6BrjjaHZFi32J50pRWKVHbEj7E+OW1Vom+curqLfbdQwZcAiAZZAxe3CIyJ5V1TdgyYd/4C9r9iG/sh7vLR6DcX39unXOC3srdK6WgFNQWY9pAwMxOESHVTvTAAACLLdUz4lrfXkgR9I/0AOphdXNttU3mPDCTycxIMgDlw8Oavcc5bUGAIDJLKKuwT6XbOj2PDjkHDgPDhHZs4LKeixedxDZZbV486Z4zB0aIskMuu6t9OCcLaqBIAi4bVIU/vb1UZwrqUGNwQhlK/PGOKJofw/8ePT8XWKiKOL+zw7jcFY51t4yutX5cf6stMYAD60K1XojavTGZj1h9oI9OASA8+AQkX0yGM3YdqoA1769B+W1Bnx9z0TMGxYq2fIAF74xN/XmVOmNaDCZceXwUHi7qbFmVzre35OBS/r7d+jN394F6bQoqtJb/6j9ZH8mNp8owNs3jcSMDvTeAEBZTQNiQyyX6/Iq7PPWefuLXCQLzoNDRPbkRG4l/vdbOjafLEBVvRHDw7yw6pZRCPGSdpI9T+35taiaLlEBQG55HSL93HHD6HCs2ZUOAFi3eIykry2XAE8t9EYzymob8MORXDz74wksmhDZqTvEymoNGNfXFwczylBop3MDMeAQAEsPDi9REVFPMJlFKATLpfHc8jrsPF2ESwcEILRx/pVP92fiie+SEertijsmR+PywcGIDfG0yaKO7lrl+c815z/PLK1FpJ87EsZFWANOe7P7OoqBQZael/Ert8JgNOPm8RF4ct7gTp2joq7BOl9Otd4oeY1SYMAhAJZfNPY6Ep6IOk4URRw4W4qUgipcMTQE/h6tz1jbGWU1BlTVG5FVVovjuRUI9HTBwGBPDAw6v57R76nFOJxZhuScCpTXNuClBcMQfcG8NGaziHV7MvD+nrPILqtDTIAHhoV54+fkPNQ1mKBzUeGV64Zh/9lSrPs9A4smROLJeYO7dYdUR6iUCriqlahrMEFvNMPfQ4viaj3yyi29EpF+7hgV6YPEc2XNengcWf8gT6y+ZRSSssoxd2hIp9buAizfYwaTGZ4uamiUClTVM+CQHVMKAhpEDsIhcmTpRdV4fH0yDpy13Nr81vZULJoQBcASMEZH+SI+whsuauVFzmJRozfi68RsfLo/EykFVdbtLmoF6hssvyuCdS6I8HVDvdGEo9kV8HXXoK+/O3LL67Dovf348u4JCPFyRUVdA5avP4qNx/Jx3cgwjLjUG3vTSnC6oAqLJkbi1glRWPZFEu75+BBc1Uo8MTcWd0yOtkmPTWvctSrUNZhQrTciys8NxdX6ZksyfHTHWJTXNsDLSQIOAMwaEoxZQ7p2R5jRLEIUAbVSgEIBNJjs872DAYcAAAoFOA8OkQPbdqoASz8+hGAvF6xbPAYxgR5Y8W0y3tyWCq1aAbNZxL83n4ZWpcCljStuzxwchEHBzS/9lNYYsP5QNlbtTENZbQMuHxyEey+LgZ+7BoGeWvQL8ECV3ojjuRXYcqIQ5XWW24XvmByNq4ZbBv9ml9ViwTt7cMnL2+HhokJ1vRFqpQKrbh5lfVNNGBfZrP5P7hyHxHNlGBjkCR/39mfSlZKniwrF1XrU6I0I8XYFzpU1GzjrplHBTcO3yyYqhQAXtQIbjuSivsGMwR2YN0cO/BcjALxNnMiR5ZTX4f5PD+OS/gF4Y2G8dX2lj+4YZz3GbBZxMr8SO08X4aejediXXoL/bD6NSD83LJvRH24aFb47nIMtJy0T2l01vA8emtkfYT4t117yclVjYj9/TOzn32o9YT5u2PTgFPx8LA+VdUZ4aJWYNSQYgTqXNtugViowvptz2nRV051UtQYTIhrXWCqw04Gz9kAQBOhc1PjtTDGG9vHChH7y/Lu1hwGHAHCiPyJH9ua2M3DVKPHfvwy3hps/UygEDAn1wpBQL/x1agwMRjP2pBXjo73n8NAXRwAAg4I98ficWFw9IhR+3Ry74+OuadFLY6+aAk613ogBjQNwM4pr5CzJ7kX7u6OwSo+V1w7tsUuJncWAQwA4Dw6Ro8otr8PXidl45PKB8HTp+BgRjUqBqQMDMXVgIM4W10ClEBDm42q3b1a21LQeVa3BiPDGHpx0BpyLen1hPPall2BIqH1engIYcKgR58EhckxrdqXDXatCwviu95ZEd2EVbmfiae3BMSE2RIcBQR6YOjBQ5qrsW5DOBfNH9JG7jItiwCEAgMB5cIgcTmFVPT47kIl7p8XY5VT5jqJpuYZavRH+Hlr8+tClMldEUnCOWYuo25QCVxMncjRfJ2ZDIQi4dWKU3KU4NL3RsljkkexyeQshSTHgEAAOMiZyRDtOFeGS/v5ONT+LHG5qHAw9txNLFZD9Y8AhAJwHh8jRmMwiknMqMCbKV+5SHF6ot+X29Uo7nZGXuoYBhwBwHhwiR5NWVI26BhOG9LHfu1gcRdOCm8XVepkrISkx4BCAxtvEGXCIHEZydgUAdHodIWrJRW15KyypNshcCUmJAYcANI7B4Tw4RA4jOacCUX5u0HVi7htqXdPcP0XswXEqDDgEgIOMiRzNrjNFGBdtn1PkOyqDkX/lORNOnEAAGHCIHMnZ4hqkF9Xg8dmD5C7FacwdGoLYEE+5yyAJMeAQAMtEf7yLisgx7E0rgVIhYHL/1he7pM57K2Gk3CWQxHiJigBYBhnzLioix5BbXodATy3cNPwblagtDDgEwHKJivmGyDHkV9YjSOcidxlEdo0Bhyx4mziRwyiorEcwAw7RRTHgEIDGHhy5iyCiDjlbXINIPze5yyCyaww4BAAQwB4cIkdQ32BCTnkd+ga4y10KkV1jwCEAHIND5CgySmogikC/AA+5SyGyaww4BMBymzgDDpH9SyusAQD0ZcAhuigGHALAxTaJHMWx3Ar4uKnh666RuxQiu8aAQwCaxuDIXQURXUx9gwlfHMzClcND5S6FyO4x4BAALtVA5AjWH8pBWa0Bt0+KlrsUIrvHgEMAGsfgyF0EEbXJbBbxv93pmDU4GFH+vIOKqD0MOASASzUQ2bsdpwuRXlSDJVPYe0PUEQw4BKBpkLHcVRBRW75OzMbgEB1GRfrKXQqRQ2DAIQBNq4kz4RDZoxq9EdtOFeKqERxcTNRRDDgEABDApRqI7NXWU4WobzBj7tAQuUshchgMOATAMgbHzPvEiezSj0dyMTzcG+G+XH+KqKMYcAgAl2ogsldms4gdp4swJy5Y7lKIHAoDDgHgbeJE9koEYDCa4ceZi4k6hQGHAFjuouIgYyIichYMOATAslQD8w0RETkLBhwC0DjImAmHiIicBAMOAWic6E/uIoiIiCTCgEMAuFQDERE5FwYcsuBt4kRE5EQYcAgAx+AQEZFzYcAhAJalGjiRMREROQsGHAJg6cEBOA6HiIicAwMOAbDMZAxwLhwiInIODDgEwHKbOMDlGoiIyDkw4BAAy0zGAAcaExGRc2DAIQCW1cQBXqIiIiLnoJK7ALIPisaoyx6c7hNFEWYRMJlFmEURJrMIkyjCbD7/uanxc7MZ1q/NF2z3cdegj7er3E0hInJYDDgEwHKbONCxHhyx8Y24wSSiwWxGg9Fs+dxkbnyIMJrNMJlFGBvfsI2mxo9/3m4WYTJbnmP92mT+037Lm7/ZGg7Q7Otm25uCgnU7rMHCLF4YOJqCSNO+8881i7jg2ObHiaIlkFzYHmNj+xpM59smhbcTRkKtPN/J2nSHm2j9+oJ/PwFQKwUoFQqoFQKUCgEqpaJxmwC1UmH5qFBApRSgatxv2SdY9ymabqejdll+Bs5/zzeYzDAYm3/dbJ+p+c+KoWm/0fI9ZNl//nlN+w1Gs9xNJXJIDDgE4PxdVNet2mP9xW00i2gwmmFoDCzWX85ms80uZTW92aoUljdf60MQoBAAxYVfKxq3CeePa/r8YtvVSgVcFE3Pt2xTCgIEQYBSYXnehZ+ffwBKhWWfSiFYw4FKqbAEhgtCg/LC17Z+fb4mxQXHnK/Tsv+PjDK88PNJ/PWTQ7b5n3wRCgFQNYagpmCkavzoqlHCXaOEm0YFd+2fPmqUcNOq4KJSNGuf4k//L5QX/D8XBEusVigaA7blP+t2QbBsFxq3o/FrEecDZVOYvjBINNvXFCIav5fPB4nzz7EGjcaAYTCZG7/f/xRETE0/D5avpcixQuP3o6YxjKqVCsvXqvNfq5QKjO/ri+Hh3t1/QaJehAGHAADj+/ohYVwERADqxjc0tUrR/PM//RK+8HOVUmj8JW35XN0YUFTWwNI8uKgUApTK5tub3vR6u/gIH1w/OgwNJss76IX/S5o+bfr/dOHgcJNZRINZhKkxhFqDqkls7GUynz/mgl6zpmMs+8zW3rk/H1NrMKHWYESN3vKxqEqPcyVG1BhMqNVbPtY1mKw9anJc7bwwMKiavj8VAtSq80FN08r3slalgIdWZf0eVquElue5MIioFC32ay78uVApmv08tLVPyR4zIpthwCEAQJDOBS9cM1TuMqiRt5tG7hK6TWw2/uiCsUaNlwJFNI75svwHy6di40fL80Wx5XYBaBa+LwwgDAxE1IQBh4hsQhAsPXj8JUNEcuBt4kREROR0GHCIiIjI6TDgEBERkdNhwCEiIiKnw4BDRERETqdbAeell16CIAhYtmyZdduaNWswdepU6HQ6CIKA8vLybp8TAKZOnWqZAOyCxz333NOd8omIiMhJdTngHDx4EKtXr8awYcOaba+trcXs2bOxYsUKyc7ZZMmSJcjLy7M+XnnllS7VTkRERM6tSwGnuroaCQkJWLt2LXx8fJrtW7ZsGR5//HGMHz9esnM2cXNzQ3BwsPWh0+m6Uj4RERE5uS4FnHvvvRdz587FjBkzJCukI+f85JNP4O/vj7i4OCxfvhy1tbVtHqvX61FZWdnsQURERL1DpycZ/fzzz3Ho0CEcPHhQsiI6cs6bbroJkZGRCA0NxdGjR/HYY48hJSUF69evb/X4lStX4plnnpGsRiIiInIcnQo4WVlZePDBB7F582a4uLhIUkBHz3nXXXdZPx86dChCQkIwffp0pKWloV+/fi2OX758OR5++GHr15WVlQgPD5ekZiIiIrJvnQo4iYmJKCwsxMiRI63bTCYTdu3ahTfffBN6vR5KpbJTBXT1nOPGjQMApKamthpwtFottFptp2ohIiIi59CpgDN9+nQkJyc323bbbbdh0KBBeOyxxzodbrpzzqSkJABASEhIp1+TiIiInFunAo6npyfi4uKabXN3d4efn591e35+PvLz85GamgoASE5OhqenJyIiIuDr6wvAEmquueYa3HfffR06Z1paGj799FNcccUV8PPzw9GjR/HQQw9hypQpbd5S/meiKAIABxsTERE5kKb37ab38Y7q9CDj9qxatarZ4N4pU6YAANatW4fFixcDsASW4uLiDp9To9Fgy5YtePXVV1FTU4Pw8HAsWLAATzzxRIfPUVVVBQAch0NEROSAqqqq4OXl1eHjBbGzkchBmc1m5ObmwtPTE4IgyFJD00DnrKysXjmHT29uf29uO8D29+b29+a2A727/VK1XRRFVFVVITQ0FApFx2e3kbwHx14pFAqEhYXJXQYAQKfT9bpv9Av15vb35rYDbH9vbn9vbjvQu9svRds703PThIttEhERkdNhwCEiIiKnw4DTg7RaLZ566qleOz9Pb25/b247wPb35vb35rYDvbv9cre91wwyJiIiot6DPThERETkdBhwiIiIyOkw4BAREZHTYcAhIiIip8OAI6HTp09j/vz58Pf3h06nw+TJk7F9+3br/pKSEsyePRuhoaHQarUIDw/Hfffd1+H1sfR6PUaMGAFBEKyLjdoTW7X/qquuQkREBFxcXBASEoJbbrkFubm5tm5Op9mi/RkZGbjjjjsQHR0NV1dX9OvXD0899RQMBkNPNKnDbPVv/8ILL2DixIlwc3ODt7e3jVvRdbZqf2lpKRISEqDT6eDt7Y077rgD1dXVtm5Op7TX9iNHjmDhwoUIDw+Hq6srYmNj8dprr7V73kOHDmHmzJnw9vaGn58f7rrrLrtrO2C79rd3Xnthi/bv2LEDgiC0+jh48GCHa2PAkdC8efNgNBqxbds2JCYmYvjw4Zg3bx7y8/MBWGZTnj9/PjZs2IDTp0/j/fffx5YtW3DPPfd06PyPPvooQkNDbdmEbrFV+6dNm4Yvv/wSKSkp+Oabb5CWlobrrruuJ5rUKbZo/6lTp2A2m7F69WocP34c//3vf7Fq1SqsWLGip5rVIbb6tzcYDLj++uuxdOnSnmhGl9mq/QkJCTh+/Dg2b96MH3/8Ebt27cJdd93VE03qsPbanpiYiMDAQHz88cc4fvw4/v73v2P58uV488032zxnbm4uZsyYgZiYGOzfvx+bNm3C8ePHresZ2hNbtL8j57UXtmj/xIkTkZeX1+xx5513Ijo6GqNHj+54cSJJoqioSAQg7tq1y7qtsrJSBCBu3ry5zee99tprYlhYWLvn//nnn8VBgwaJx48fFwGIhw8flqJsydi6/Rf6/vvvRUEQRIPB0OV6pdaT7X/llVfE6OjoLtcqtZ5o+7p160QvL6/ulmoTtmr/iRMnRADiwYMHrds2btwoCoIg5uTkSFN8N3W17X/961/FadOmtbl/9erVYmBgoGgymazbjh49KgIQz5w5I03xErBV+7t63p5mq/b/mcFgEAMCAsRnn322U/WxB0cifn5+GDhwID788EPU1NTAaDRi9erVCAwMxKhRo1p9Tm5uLtavX49LL730oucuKCjAkiVL8NFHH8HNzc0W5XebLdt/odLSUnzyySeYOHEi1Gq1VOV3W0+1HwAqKirg6+srRdmS6Mm22yNbtX/v3r3w9vZu9hfrjBkzoFAosH//fsnb0RVdaTvQ/vewXq+HRqNptrCiq6srAGD37t3SNaCbbNX+rp63p9mq/X+2YcMGlJSU4LbbbutcgZ2KQ3RRWVlZ4qhRo0RBEESlUimGhISIhw4danHcjTfeKLq6uooAxCuvvFKsq6tr85xms1mcPXu2+Nxzz4miKIpnz561yx4cUbRN+5s8+uijopubmwhAHD9+vFhcXGyLJnSLLdvf5MyZM6JOpxPXrFkjZendZuu223MPjijapv0vvPCCOGDAgBbbAwICxLffflvS+rujo21v8vvvv4sqlUr85Zdf2jzm2LFjokqlEl955RVRr9eLpaWl4oIFC0QA4osvvmiLZnSZLdrflfPKxVbtv9CcOXPEOXPmdLo2Bpx2PPbYYyKAiz5Onjwpms1m8aqrrhLnzJkj7t69W0xMTBSXLl0q9unTR8zNzW12zry8PPHkyZPi999/Lw4ePFhcunRpm6//2muviZMmTRKNRqMoij0fcORuf5OioiIxJSVF/PXXX8VJkyaJV1xxhWg2m23VbCt7ab8oimJ2drbYr18/8Y477rBFU1uwp7bLEXDkbr+cAccWbRdFUUxOThb9/f2tf7BdzCeffCIGBQWJSqVS1Gg04iOPPCIGBQWJL730ki2a3Izc7e/seaUmd/svlJWVJSoUCvHrr7/udDsYcNpRWFgonjx58qIPvV4vbtmyRVQoFGJFRUWz58fExIgrV65s8/y//fabCKDNb9r58+eLCoVCVCqV1gcAUalUiosWLZK0ra2Ru/2tycrKEgGIe/bs6XK7Ospe2p+TkyP2799fvOWWW5qNS7Ale2m7KMoTcORu/7vvvit6e3s329bQ0CAqlUpx/fr13W/gRdii7cePHxcDAwPFFStWdKqW/Px8saqqSqyurhYVCoX45Zdfdrt97ZG7/V39npKK3O2/0LPPPisGBAR0acylqnMXtHqfgIAABAQEtHtcbW0tADS7Ztz0tdlsbvN5Tfv0en2r+19//XU8//zz1q9zc3Mxa9YsfPHFFxg3bly7dXWX3O2X6jldZQ/tz8nJwbRp0zBq1CisW7euxWvYij20XU5yt3/ChAkoLy9HYmKidTzDtm3bYDabbf6zL3Xbjx8/jssuuwy33norXnjhhU7VEhQUBAB477334OLigpkzZ3bq+V0hd/u7+j0lFbnb30QURaxbtw6LFi3q2pjLTkcialVRUZHo5+cnXnvttWJSUpKYkpIiPvLII6JarRaTkpJEURTFn376SXzvvffE5ORk8ezZs+KPP/4oxsbGipMmTbKeZ//+/eLAgQPF7OzsVl/HXsfg2Kr9+/btE9944w3x8OHDYkZGhrh161Zx4sSJYr9+/cT6+npZ2toaW7U/OztbjImJEadPny5mZ2eLeXl51oe9sOX3/rlz58TDhw+LzzzzjOjh4SEePnxYPHz4sFhVVdXj7WyLLds/e/ZsMT4+Xty/f7+4e/dusX///uLChQt7vI1t6Ujbk5OTxYCAAPHmm29u9v1bWFhoPU9rbX/jjTfExMREMSUlRXzzzTdFV1dX8bXXXuvxNl6MrdrfkfPaA1v++4uipScLjZfDuoIBR0IHDx4UL7/8ctHX11f09PQUx48fL/7888/W/du2bRMnTJggenl5iS4uLmL//v3Fxx57TCwrK7Mes337dhGAePbs2VZfw14Djijapv1Hjx4Vp02bJvr6+oparVaMiooS77nnnjYDoJxs0f5169a1eQ3cntjqe//WW29tte3bt2/vucZ1gK3aX1JSIi5cuFD08PAQdTqdeNttt9lVuBPF9tv+1FNPtfpvGBkZaT2mtbbfcsstoq+vr6jRaMRhw4aJH374YQ+2quNs1f72zmsvbNV+URTFhQsXihMnTuxybYIoimLn+32IiIiI7BfnwSEiIiKnw4BDRERETocBh4iIiJwOAw4RERE5HQYcIiIicjoMOEREROR0GHCIiIjI6TDgEBERkdNhwCEiIiKnw4BDRERETocBh4iIiJwOAw4RERE5nf8HCShctHrrQzkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#RUN THIS ONLY IF WE FOUND POPULATED ISLANDS\n",
    "nSubGeoms = len(MAP.geoms)\n",
    "subGeoms = [MAP.geoms[n] for n in range(nSubGeoms)]\n",
    "subAreas = [subGeoms[n].area for n in range(nSubGeoms)]\n",
    "mainSubGeomNo = subAreas.index(np.max(subAreas))\n",
    "mainGeom = subGeoms[mainSubGeomNo]\n",
    "nonMainGeom = dummyPoly\n",
    "for geo in subGeoms:  #the \"nonMainGeom is all pieces of the state not in the biggest piece\n",
    "    if geo != mainGeom:\n",
    "        if nonMainGeom == dummyPoly:\n",
    "            nonMainGeom = geo\n",
    "        else:\n",
    "            nonMainGeom = nonMainGeom.union(geo)\n",
    "        \n",
    "print(\"Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\")\n",
    "hasIsland, isIsland = [False for c in range(nCounties)], [False for c in range(nCounties)]\n",
    "isIsland =  [False for t in range(nTracts)]\n",
    "islandXshift, islandYshift = [0. for t in range(nTracts)], [0. for t in range(nTracts)]\n",
    "islandList = list()\n",
    "for c in range(nCounties):\n",
    "    if countyGeom[c].intersects(nonMainGeom):  #this county contains an island.  Find all its island tracts\n",
    "        hasIsland[c] = True\n",
    "        if countyGeom[c].disjoint(mainGeom):  #need to connect the whole county\n",
    "            print(\"county\",c,\"is completely disconnected from mainland.  Move it to adjoin mainland\")\n",
    "            isIsland[c] = True\n",
    "            countyDist = [999999. for cc in range(nCounties)]  #default, to avoid picking island counties as closest to this one\n",
    "            for cc in range(nCounties):\n",
    "                if countyGeom[cc].intersects(mainGeom):\n",
    "                    countyDist[cc] = countyGeom[c].distance(countyGeom[cc].intersection(mainGeom) )\n",
    "            closestCounty = countyDist.index(np.min(countyDist))\n",
    "            p1, p2 = nearest_points(countyGeom[closestCounty],countyGeom[c])\n",
    "            for t in countyTractList[c]:\n",
    "                islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "            for t in countyTractList[c]:\n",
    "                plotPoly(tractGeom[t])\n",
    "                plotCenter(t,tractGeom[t])\n",
    "                plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                tractCP[t] = tractGeom[t].centroid\n",
    "                tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "        else: #move only the county's island tracts to connect with main geom\n",
    "            mainCountyGeom = countyGeom[c].intersection(mainGeom)\n",
    "            plotPoly(mainCountyGeom)\n",
    "            plotCenter(c,mainCountyGeom)\n",
    "            for t in countyTractList[c]:\n",
    "                if tractGeom[t].intersects(nonMainGeom) and t not in skipList:\n",
    "                    if tractGeom[t].intersects(mainCountyGeom):\n",
    "                        print(\"unit\",t,\"has island pieces.  We will reduce the tract to its main state component\")\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "                        tractGeom[t] = tractGeom[t].intersection(mainCountyGeom)\n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                    else:    \n",
    "                        isIsland[t] = True\n",
    "                        print(\"unit\",t,\"is a true island.  We will move it to adjoin the mainland in same county.\")\n",
    "                        islandList.append(t)\n",
    "                        if tractGeom[t].geom_type != dummyPoly.geom_type :  #island tract is multiple geoms.  collapse to its largest isle\n",
    "                            isleGeos = [geo for geo in tractGeom[t].geoms]\n",
    "                            isleAreas = [geo.area for geo in isleGeos]\n",
    "                            biggestIsleNo = isleAreas.index(np.max(isleAreas))\n",
    "                            tractGeom[t] = isleGeos[biggestIsleNo]\n",
    "                            tractCP[t] = tractGeom[t].centroid\n",
    "                        p1, p2 = nearest_points(mainCountyGeom, tractGeom[t])\n",
    "                        islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                        plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                        tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9a94118d-5863-4458-b77a-67d18cf01c2c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\n",
      "This would need adjustment for multi-county islands like Michigan UP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing with island triage - RUN ONLY WITH ISLANDS\n",
    "print(\"If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\")\n",
    "print(\"This would need adjustment for multi-county islands like Michigan UP\")\n",
    "for c in range(nCounties):\n",
    "    if hasIsland[c] :  #rebuild the county geom with the translated islands\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in countyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "MAP = countyGeom[0]\n",
    "plotPoly(countyGeom[0])\n",
    "for c in range(1,nCounties):\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "    plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4aebe4ee-ee7b-4bf3-8413-f315556d453e",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "computing all county centerpoints, then plot them\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"computing all county centerpoints, then plot them\")\n",
    "countyCP  = list()\n",
    "cutCountyList = list()\n",
    "for c in range(nCounties):\n",
    "    cTL = countyTractList[c]\n",
    "    countyCP.append(getHDcp( [tractCP[v] for v in cTL], [tractPop[v] for v in cTL], [i for i in range(len(cTL) ) ] ) )\n",
    "    if countyCP[c].disjoint(countyGeom[c]):  #possible with weird-shaped county\n",
    "        countyCP[c] = nearest_points(countyGeom[c],countyCP[c])[0]\n",
    "    plotPoly(countyCP[c].buffer(0.03))\n",
    "    plotPoly(countyGeom[c],0.5)\n",
    "plotPoly(MAP)\n",
    "plt.show()   \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "207f3a55-e361-4777-ae46-41fe3d54a4b8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This code block reads in a csv with whole districts to be cut out of the map\n",
      "For TX my input file says to cut out 1 districts out of 38\n",
      "performing cut no 0 for state TX\n",
      "the total proposed cutPop is 763552.0 . Compare to 766986\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the cut 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your cut districts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"This code block reads in a csv with whole districts to be cut out of the map\")\n",
    "unclippedMAP = MAP\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "nCutDistricts = nCuts\n",
    "nStops = trimDF[\"nStopLines\"][DFrow]\n",
    "nDistricts = trimDF[\"nDistricts\"][DFrow]\n",
    "stopLines = list()  #the 'stoplines' stop wedge growth that hops across concave map areas (not currently used)\n",
    "cutCountyList = list()\n",
    "allCutLists, allCutPops = list(), list()\n",
    "print(\"For\",STATE,\"my input file says to cut out\",nCuts,\"districts out of\",nDistricts)\n",
    "if nCuts > 0:\n",
    "    cutList = list()\n",
    "    cutXs = ast.literal_eval(trimDF[\"cutXs\"][DFrow])\n",
    "    cutYs = ast.literal_eval(trimDF[\"cutYs\"][DFrow])\n",
    "    cutPoints = [Point(cutXs[i],cutYs[i]) for i in range(len(cutXs)) ]\n",
    "    for cutNo in range(nCuts):\n",
    "        print(\"performing cut no\",cutNo,\"for state\",STATE)  #first two cutPoints must form the cutLine\n",
    "        cutNotDone = True\n",
    "        thisCutPoints = [ cutPoints[int(4*cutNo)],cutPoints[int(4*cutNo+1)],cutPoints[int(4*cutNo+2)],cutPoints[int(4*cutNo+3)]  ]\n",
    "        while cutNotDone:\n",
    "            cutPoly = Polygon([thisCutPoints[0],thisCutPoints[1],thisCutPoints[2],thisCutPoints[3] ])\n",
    "            cutLine = LineString([thisCutPoints[0], thisCutPoints[1] ] )\n",
    "            cutList = list()\n",
    "            cutPop = 0.\n",
    "            for c in range(nCounties):\n",
    "                if cutPoly.intersects(countyGeom[c]):\n",
    "                    if cutPoly.contains(countyGeom[c]):\n",
    "                        cutList = cutList + countyTractList[c]\n",
    "                        cutPop += countyPop[c]\n",
    "                    else:\n",
    "                        for t in countyTractList[c]:\n",
    "                            if cutPoly.contains(tractCP[t]):\n",
    "                                cutList.append(t)\n",
    "                                cutPop += tractPop[t]\n",
    "                            if STATE == \"NC\":\n",
    "                                if t == 1828:\n",
    "                                    print(\"special for NC - include vtd 1828 from county 55 in the cut list for contiguity\")\n",
    "                                    cutList.append(t)\n",
    "                                    cutPop += tractPop[t]\n",
    "            print(\"the total proposed cutPop is\",cutPop,\". Compare to\",int(statePop/nDistricts) )\n",
    "\n",
    "            doIcut = input(\"enter 1 to apply the cut\")\n",
    "            if str(doIcut) == str(1):\n",
    "                cutNotDone = False\n",
    "                allCutLists.append(cutList)\n",
    "                allCutPops.append(cutPop)\n",
    "            else:\n",
    "                print(\"Here is the state and the last proposed cutPoly.\")\n",
    "                plotPoly(cutPoly)\n",
    "                plotPoly(MAP)\n",
    "                plt.show()\n",
    "                print(cutPoly)\n",
    "                oldPts = list(cutPoly.exterior.coords)\n",
    "                newPtXs = ast.literal_eval(input(\"enter alternate [ x0, x1 ] for the first two points\") )\n",
    "                newPtYs = ast.literal_eval(input(\"enter alternate [ y0, y1 ] for the first two points\") )\n",
    "                thisCutPoints = [Point(newPtXs[0],newPtYs[0]), Point(newPtXs[1],newPtYs[1]),oldPts[2], oldPts[3] ]\n",
    "allCutVTDs = list()\n",
    "for L in allCutLists:\n",
    "    for v in L:\n",
    "        allCutVTDs.append(v)\n",
    "if nCutDistricts == 0:\n",
    "    print(\"There were no cut districts in\",STATE)\n",
    "else:\n",
    "    print(\"here are your cut districts\")\n",
    "    plotPoly(MAP)\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        cutGeo = tractGeom[L[0]]\n",
    "        for v in L:\n",
    "            cutGeo=cutGeo.union(tractGeom[v])\n",
    "        plotPoly(cutGeo,2)\n",
    "        plotCenter(i,cutGeo)\n",
    "        plotCenter(allCutPops[i],Point(cutGeo.centroid.x,cutGeo.centroid.y-0.5) )\n",
    "    plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0d69b5ee-87c5-446c-a9e1-899644961ee8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in cutList:\n",
    "    plotPoly(tractGeom[t],0.2)\n",
    "for t in range(nTracts):\n",
    "    if tractCPx[t] > -106.3 and tractCPx[t] < -106 and t not in cutList:\n",
    "        plotPoly(tractGeom[t])\n",
    "        plotCenter(tractPop[t],tractGeom[t])\n",
    "#plotPoly(cutPoly)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4c915415-6c44-4c43-9826-b565cebed95a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Write the vtd cutlists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Write the vtd cutlists to a file\")\n",
    "cutDistrictNo = list()\n",
    "for v in allCutVTDs:\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        if v in L:\n",
    "            cutDistrictNo.append(i)\n",
    "            break\n",
    "nbrDF = pd.DataFrame( {\"vtdNo\":allCutVTDs,\"cutDistrictNo\":cutDistrictNo} )\n",
    "outname = STATE+\"wholeDistrictCuts.csv\" \n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "nbrDF.to_csv(outpath)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "17721728-e5c0-4787-b430-9d7d94970667",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "38 districts\n"
     ]
    }
   ],
   "source": [
    "countyPop = [0. for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    countyPop[countyNo[t]] += tractPop[t]\n",
    "print(nDistricts,\"districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f3073320-8d92-45ba-beb2-fb8c08d7170d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed all whole districts.  Finalize stats before squishing in outcroppings.\n",
      "Of the total statePop 29145505.0 we ignore 763552.0 as it is cut out of the map\n",
      "This excluded pop comes from a total of 193 tracts\n",
      "Our final adjusted number of state districts, excluded fixed cut-out is 37 rather than original 38\n",
      "Each district will be drawn to house 767079.811 = 1/ 37 of non-cutout state pop 28381953.0 vs original= 29145505.0\n",
      "Here is a county-level modified map with each county's fraction of a district pop\n",
      "working on county 0\n",
      "working on county 20\n",
      "working on county 40\n",
      "working on county 60\n",
      "working on county 80\n",
      "working on county 100\n",
      "working on county 120\n",
      "working on county 140\n",
      "working on county 160\n",
      "working on county 180\n",
      "working on county 200\n",
      "working on county 220\n",
      "working on county 240\n",
      "here is the TX map excluding cut and unpop coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Removed all whole districts.  Finalize stats before squishing in outcroppings.\")\n",
    "trueCountyPop = [countyPop[c] for c in range(nCounties)]\n",
    "trueCountyGeom = countyGeom.copy()\n",
    "countyPop = [0. for c in range(nCounties)]\n",
    "trueStatePop, true_nDistricts = np.sum(trueCountyPop), nDistricts\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "# minTractPop = 4.5  #already defined above\n",
    "populatedTractList = list()\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "statePop, excludedPop = 0., 0.\n",
    "\n",
    "for t in range(nTracts):\n",
    "    trueCountyTractList[countyNo[t]].append(t)\n",
    "    if t in allCutVTDs or t in skipList:  #  or vtdPop[t] < minTractPop:  #need to keep low-pop vtds as VEST may have assigned votes to them\n",
    "        excludedPop += tractPop[t]\n",
    "    else:\n",
    "        populatedTractList.append(t)\n",
    "        countyTractList[countyNo[t]].append(t)\n",
    "        countyPop[countyNo[t]] += tractPop[t]\n",
    "        statePop += tractPop[t]\n",
    "        #tractPop[t] = max(tractPop[t],0.000001)  #avoid possible later div/zero errors for nil-vote vtds\n",
    "print(\"Of the total statePop\",statePop+excludedPop,\"we ignore\",excludedPop,\"as it is cut out of the map\") #,\n",
    "#\"or in sparsely populated areas (<\",minTractPop,\") per geom\")\n",
    "print(\"This excluded pop comes from a total of\",nTracts -len(populatedTractList),\"tracts\")\n",
    "true_nDistricts = nDistricts\n",
    "nDistricts -= nCutDistricts\n",
    "print(\"Our final adjusted number of state districts, excluded fixed cut-out is\",nDistricts,\"rather than original\",true_nDistricts)\n",
    "aDP = statePop/float(nDistricts)\n",
    "print(\"Each district will be drawn to house\",r3(aDP),\"= 1/\",nDistricts,\"of non-cutout state pop\",statePop,\"vs original=\",trueStatePop)\n",
    "print(\"Here is a county-level modified map with each county's fraction of a district pop\")\n",
    "\n",
    "vtdGeom = tractGeom.copy()\n",
    "nVTDs = len(vtdGeom)\n",
    "\n",
    "cutCountyList, uncutCountyList = list(), list()\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"working on county\",c)\n",
    "    if len(countyTractList[c]) == 0:  #no vtds added to county b/c all were in cut lists:\n",
    "        cutCountyList.append(c)\n",
    "    else:\n",
    "        uncutCountyList.append(c)\n",
    "        countyGeom[c] = tractGeom[countyTractList[c][0]]\n",
    "        for t in countyTractList[c]:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "uncutMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "print(\"here is the\",STATE,\"map excluding cut and unpop coastal tracts\")\n",
    "\n",
    "for c in uncutCountyList:\n",
    "    plotPoly(countyGeom[c])\n",
    "    FONTSIZE = 8 #11  #reduce for TX\n",
    "    if countyPop[c] / statePop < 0.02:\n",
    "        FONTSIZE = 5 #7 #reduce for TX\n",
    "        plotCenter(r3(countyPop[c]/aDP),countyGeom[c], FONTSIZE)\n",
    "    else:\n",
    "        plotCenter(round(countyPop[c]/aDP,2),countyGeom[c], FONTSIZE)\n",
    "plotPoly(trueMAP,0.1)\n",
    "for c in cutCountyList:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "    plotCenter(\"cut\",countyGeom[c],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "0062ac21-3328-4616-99ed-70c53e62b308",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the map topology before any squish operations.  Plot countyPop/aDP\n",
      "Working on county  0 distances\n",
      "Working on county  20 distances\n",
      "Working on county  40 distances\n",
      "Working on county  60 distances\n",
      "Working on county  80 distances\n",
      "Working on county  100 distances\n",
      "Working on county  120 distances\n",
      "Working on county  140 distances\n",
      "Working on county  160 distances\n",
      "Working on county  180 distances\n",
      "Working on county  200 distances\n",
      "Working on county  220 distances\n",
      "Working on county  240 distances\n",
      "the max LAT-scaled distance between counties is 10.99917\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter user-picked max district diameter, or 0 to accept 10.99917  5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working on county  0 neighbors\n",
      "Working on county  20 neighbors\n",
      "Working on county  40 neighbors\n",
      "Working on county  60 neighbors\n",
      "Working on county  80 neighbors\n",
      "Working on county  100 neighbors\n",
      "Working on county  120 neighbors\n",
      "Working on county  140 neighbors\n",
      "Working on county  160 neighbors\n",
      "Working on county  180 neighbors\n",
      "Working on county  200 neighbors\n",
      "Working on county  220 neighbors\n",
      "Working on county  240 neighbors\n",
      "I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#For corners and outcroppings, we fuse county clusters\n",
    "print(\"Now finalize the map topology before any squish operations.  Plot countyPop/aDP\")\n",
    "preSquishCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "maxD = 0.\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"distances\")\n",
    "    if c not in cutCountyList:\n",
    "        plotPoly(countyGeom[c],0.2)\n",
    "        plotCenter(r3(countyPop[c]/aDP), countyGeom[c], 7 )\n",
    "        for cc in range(c+1, nCounties):\n",
    "            dist = getLongDist(countyCP[c],countyCP[cc],xScale)\n",
    "            if dist > maxD and cc not in cutCountyList:\n",
    "                maxD = dist\n",
    "                #print(c,cc,maxD)\n",
    "print(\"the max LAT-scaled distance between counties is\",r5(maxD))\n",
    "plotPoly(MAP)\n",
    "plotPoly(MAP.centroid.buffer(0.5*maxD))\n",
    "plt.show()\n",
    "inputD = float( input(\"enter user-picked max district diameter, or 0 to accept \"+str(r5(maxD))+\" \") )\n",
    "if inputD > 0:\n",
    "    maxD = inputD\n",
    "neighborCountyList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"neighbors\")\n",
    "    for cc in uncutCountyList:\n",
    "        if cc > c and cc not in cutCountyList:  \n",
    "            if countyGeom[c].intersects(countyGeom[cc]) :\n",
    "                neighborCountyList[c].append(cc)\n",
    "                neighborCountyList[cc].append(c)\n",
    "print(\"I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\")\n",
    "hasFewNeighborCs, has1neighborCs = list(), list()\n",
    "plotPoly(MAP,0.15)\n",
    "for c in uncutCountyList:\n",
    "    if len(neighborCountyList[c]) == 2:\n",
    "        hasFewNeighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.2,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.5)\n",
    "    if len(neighborCountyList[c]) < 2:\n",
    "        has1neighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.1,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "plt.show()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "9445f439-1841-45b7-8ee0-deb27ba96b69",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For TX, let's zoom in on each quadrant's county pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"For TX, let's zoom in on each quadrant's county pops\")\n",
    "xFactor, yFactor = [-1, -1, 1, 1], [1, -1, -1, 1]\n",
    "for i in range(4):\n",
    "    for c in range(nCounties):\n",
    "        if xFactor[i]*(countyCP[c].x) > xFactor[i]*MAP.centroid.x:\n",
    "            if yFactor[i]*(countyCP[c].y) > yFactor[i]*MAP.centroid.y:\n",
    "                plotPoly(countyGeom[c])\n",
    "                plotCenter(r3(countyPop[c]/aDP),countyGeom[c],8)\n",
    "    plt.show()\n",
    "    for c in range(nCounties):\n",
    "        if xFactor[i]*(countyCP[c].x) > xFactor[i]*MAP.centroid.x:\n",
    "            if yFactor[i]*(countyCP[c].y) > yFactor[i]*MAP.centroid.y:\n",
    "                plotPoly(countyGeom[c])\n",
    "                plotCenter(c,countyGeom[c],8)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "f9b3df93-d821-44ca-b4f4-b65d13baaffb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "continuing from above, develop corner county blocks from each low-pop corner county until it hits 0.25 of 767079\n",
      "checking if county 70 with pop 102105.0 and only 1 neighbor is less pop than 191769 vs districtPop 767079\n",
      "checking if county 30 with pop 421017.0 and 1 or 2 neighbors is less pop than 191769\n",
      "checking if county 70 with pop 102105.0 and 1 or 2 neighbors is less pop than 191769\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Below I plot these again by county no, with faded neighboring counties\n",
      "0   [70, 114, 54, 121, 188, 194, 21, 185, 150, 237, 51, 221, 52, 247, 230, 191, 117]\n"
     ]
    },
    {
     "data": {
      "image/png": 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07HSLqnmf0znxHC6JDwOcidGyvRnklViJCvautuVI1I2mTqSDjURBQQEWi4X8/HwCAppmwZNoWFtS8uh6lm8qQpzPCsusGPW6akfD2I7XNJz42ykos7I5OY+LYoMrTT9/NkoqbJj0Ojan5NE7NrjWx/1v9SG6RgWeNpFoLDIKy9hwKJcOzQOIrWb9IFG3+7eU9QohxHnC38tY4zBcg15Hcbntr33NBgK8DOeceICzpcGg1xHubyYxJY/ElDzWHMwmq+ivOZyUUqw5mM3GwzkUlFnJK6kgMtinSSQeAOH+Xgzv0IzMonJmrk/B4VCsS8rB4VAkZRV7OrwmR9qOhBDiAtGxpYWV+7LoERNIfqkVP3P93gJiQnyJOWl2+g2HcjDoNAJ9TOw9VkTnlhZ8THr2ZRRh0GkMbhtWr9dvaAa9jt6xwQR6G9l6NJ+V+zJZezAbb5OeK7u0aFSjfxo7ST5Ek9Oo+gmFaEIs3kb6tg7mQGYx3kZ9pdExDaFXbDB/7s+ie3QgxwrKXHUlbRv4ug3txOt2oqZk2Z4MJs3dxaXtwhnWoRl70gtdRb2iepJ8CCHEBcSg17l1gbvescHszyjikvjqR6acDwYnhNMtKpADmcUs3Z3JpuRc8kqsZBdX0MLixUWtGmYoclMmyYcQQogGYzI03dlS6yLQx0TPGBNKKS5rH46XUc+6pByW7M5gZ1oBwztEcDinmJIKOyPOMJ3+hUCSDyGEEKKeaJrmKvq9qFUwrcN8ySoqJy2/lOYWL7KLKs54jhODUM/nRQcl+RBCCCEaSKif2TU5m1IKm6OQlfuyyC+1cknbUMoq7JTbHOzPKCItv4zOLS2s3J9F10gLxwrLaN88gB1HCxgQF3peFbRKJ5QQQgjhBpqm0S4igIvjQ/HzMrAztYCDWcXkl1oJ9TPTt3UwVoeDIe3C6B8XSveoIIJ9TfSPC2HhznRPh1+vpOVDCCGEcLNBtRhmfPJkZk1lPpTakpYPIYQQQriVJB9CCCGEcCtJPoQQQgjhVpJ8CCGEEMKtJPkQTUojW4RZCCHEWZDkQzQpNofCoDt/J94RQogLgSQfokmx2RUGvSQfQgjRlEnyIZoUq8OBQSe/tkII0ZTJu7hoUux26XYRQoimTpIP0aQ4lEJ3Hi+2JIQQFwJJPkSTogDJPYQQommT5EM0KTLSVgghmj5JPkSTolDS8iGEEE2cJB+iaVHOZamFEEI0XZJ8iCZFAZJ6CCFE0ybJh2hSlEJGuwghRBMnyYdoUqTmQwghmj5JPkSTopR0uwghRFMnyYdoUhRI9iGEEE2cJB+iSXE4FJpkH0II0aRJ8iGaHKn5EEKIpk2SD9GkSM2HEEI0fZJ8iCbFOdpF0g8hxIXlfFtZQpIP0aRIy4cQ4kJ0vr3vSfIhmhRZ1VYIIZo+ST5Ek6KUjHYRQoimTpIP0aTIPB9CCNH0SfIhmhTn2i6ejkIIIcS5kORDNDEy2kUIIZo6ST5EkyKjXYQQFyqlzp8BtwZPByBEXRjyDmLcuxz0x1MQ1x/jSX+Upz6mFI+9N4vZf+7gcHoumyeNotuAy+p2YbsNut0CgVHnEr4QQpyV863BV5IP0aT4pPyBiu0BYa2cD7j+Ik/6yzz1MU3j+nvb8PRrMVw8fDQM+Dv06F23Cx9eBambJPkQQniMUudPEiLJh2hSFAr8m4GlZZ2OGzhyjPM/mh78m4NvaN0u7BMCJdl1O0YIIeqJhnZezXIqNR9C1Mp59JFDCNHkaNr5VfMhyYdoUpTCMxWnHruwEEI4nT+phyQfoolxpgAeyT5Akz8XIYRnOFs+PB1F/ZF3U9HkeKT343yq9BJCNDnOmo/zJ/uQ5EM0KWc7z8cDDzxAZGQkR44cYcSIEcTFxdX1yki3ixDCU863zz4y2kU0MQrdWfwVfvrpp+d4WWn5EEJ4lnS7COEhHssBlANp+RBCeMr59tlHkg/R5Hjmb1BaPoQQnqOhScuHEBcchSQfQgiP0TSk4FQIgBUrVjB69GhatGiBpmn8/PPPlbbfddddaJpW6WvkyJGV9snJyaFbt27o9Xo0TcPb25srr7ySPXv2VHtNpRSjbry7yvWmTZtW5VonvjIyMurh2UrBqRDCczQu4JqPjz/+mC5duhAQEEBAQAD9+vVj7ty5gPMm8ve//52EhAS8vb2Jjo7mscceIz8/v0ECF55XXFxM165d+fDDD2vcZ+TIkaSlpbm+vvnmm0rbb731Vg4ePMhzzz3Hl19+SVhYGJs3b2b48OEUFxdXOd+nPy6l3OYAIKOwjOTsElJyShgwbDQbdx1g0+6DbN59kAOHUxgxYgSDBg0iPDz83J+sFJwKITzI2fJx/qjTaJfIyEgmT55MfHw8SimmT5/OmDFj2Lx5M0opUlNTmTJlCh06dODw4cM8+OCDpKam8sMPPzRU/MKDRo0axahRo067j9lsJiIiotptu3btYt68eaxfv55evXoBEBYW5jrnxo0bGThwoGv/xMREPvh+KW/9rTdLl8PW2f9Gv+fnKue1K9hTGM+ihQsZO+pK3nr2RfLyc5n8n0+w2e0A6DSNe264kf/M/LbK8Q/ceAvxsc6F6yZ+/SXFqUdRDgeDnhhH6yEVAFSUFPPbs/8g/0gKmk6HT1AwN/xnGjsceiKUjWCdxsoP3mH/4gV0uvYGYvvfR1ejn+saK+Z+zp+L/ocOZ1Nq594jueKm8TgcDr7+96McObQdTdMwGM38Y/IC13FDS6YxuFtINa/mmVpmFDhs0HYExA09zX5CCOEG6hwFBQWp//73v9VumzlzpjKZTMpqtdb6fPn5+QpQ+fn55xqacCNAzZo1q9Jjd955p7JYLCosLEy1bdtWPfjggyorK8u1/fPPP1eBgYGVjrFarUqn0ylAbdu2zfV4cXGxat++vWp3+8vq8vdWKEBN+ni6+nNfplq5L1P9sTdTLd+ToZbtyVBPz1ijLhpyjbJYLKqkpEQppZS3t7fy8vJy/S5+//33VZ5DWFiY0jSt0mMdrr9FrVu3Tun1evXtt9+6Hu/evbvq3LmzstvtSimltmzZUum4P/74Q/n5+Sk/Pz/17LPPqsFvzndts9vtStM0Vwx//PGHAtTRo0fVNddco5o3b64KCwsrnbe0tFSNGTNGRYYEqC5duqihQ4eqffv2KaWUeu2111Tbtm2VpmlVfgaDBg1SsbGxqmvXrqprpw7q7b9fU+V5CyEav33HClVBaYWnwzituty/z3qeD7vdzvfff09xcTH9+vWrdp/8/HwCAgIwGGq+THl5OeXl5a7vCwoKzjakc1OUCVtmkGwrYb6uDCyRaJrGseJj/J70O9fFX4fFbEE7qen95Gm+K/2/hub5E/vUeI7THGcvLKTtpkzi/VvV7vnUoYugpuuezF5iRN+yPctC/Mlv7l3t+ZdkF5B3NMv1vfdFA7hj0FDCoqLJOHyIH994jfmrh/H87Lno9Hp+23sAc3AIU48fs31fNu30BjSdnrDmkWwq9GPT6kMATH3jOcLiOlMQ14eLWgXzO9AuIoD+cVVXp92dfIzPtq7mlltuwdvbmx07dlBaWsq6detcv4vXX399leMyMzPp27dvpcdihwyjd+/elR7LyMhg8+bNpKSkoNM5ey67dOni2m6z2bjqqqv4+OOPefTRR2t8TdPS0gBIT09Hp9MREBDAL7/8wu+//46fn1+V895///34X2Thkuem8+9//5t7772XZcuWMXToUG666Sbuvvvuaq/zzjvvcPXVV0NeMuyaU2M8QojG64LudgHYtm0b/fr1o6ysDD8/P2bNmkWHDh2q7JeVlcUrr7zC/ffff9rzTZo0iZdeeqmuYdQfpWDvfNj9K2z+iu+Cg/kqwA9fUyCgKLQ6a1am7piKnyHgr8OO/xrUVH2sVHXbVZX/KVV1e3Xn7LeljF5zHKQbDLVLLGpbmVTL/XwvfpqdsXk81NcK+5yPnfrL83VqNj/tPfLXA+2dN20NoHUX1IS3SLptNM9+/zNePfpQkFVASYWNf+49grXCjtfSdHIWfIjdbsMWN5iXf90JQPG+NWSvWE7k3e+jK7PROsyP0zm4axt52encc889AHzxxRcADBkyxFVHcvnll/Pbb7+5jrn11lsBXDVMp7NixQr0ej3XX38927Ztw2Aw8MILL/DUU08BcPXVV9O5c2duu+22apMPnU7H5MmTefzxx3nyySex2+288cYb5OXl4XA4eP/997nuuusAuOeee3jvvffw8vLi8ssvJ3vDkwD07duXKVOmAHDRRRedMWYAHHZZn0aIJsribWR9Ug6D2oZh0J8Hf8d1bVYpLy9X+/btUxs2bFDPPvusCg0NVTt27KjS9HLRRRepkSNHqoqK0zcTlZWVqfz8fNdXSkpKg3S7xMTEKJx390pfD//tFqUmBKjS5/3VgwNClY+fUenNOnXttdeq9PT0eo3hXCz+5AW1M6Gdqigt8cj1Dz85RyW/+r16fuFO1WzJZtVsyWZVWFzu2k413S7VCQ0NVZ988olSqnK3y6aMAuXf4wplCY9QOp1O/fTTT65jHn/8caVpmtLr9a4vQOl0OjVo0KAq1xgw6joVEh7p+v6hhx5SgEpISFBKKfXoo48qQP3444+ufYxGo/L19a1yrss/nKqUUpW6Xb766isFqPvuu08ppdSMGTOUpmlq27Zt6qefflJ+fn6quLhYKaWUxWKp0u1SWlqqLBaLev/995VSSk2bNk3pdDq1fft2BaghQ4YopZzdMTqdTn333XeuY1e+fodSSqnbbrtNPfbYY5ViHTRoULXdLgkJCapTp05q7JjL1YGfXqvyHIUQTYPN7lB/7s/0dBg1qku3yznXfFx22WXq/vvvd31fUFCg+vXrpy677DJVWlpa5/M1VM1HRkaGSktLc30tXLhQAWrpj18oNSFAPXjr1SoqKko9OOFiNeDFNqpv376qf//+9RrDuVjy2US1M6GdKinKc/u17RVWlfz0MnXsg9lKKaUmLtujmi3ZrF5ftMtV81Cb5CMlJUVpmqZ++eUXpZRSO3fuVIBav369uuFv9ym9X7C6+YV/KU3T1NGjR13HpaWlqW3btlX6AtR7772nDh48WOkahYWFyuzto/oNG+t6bO7cuQpw1VGciHfUqFFKKWddBaAmTpxYJebqko/du3crQJWX/5V8+fj4qDfeeEPddNNNSqfTVUqSNE1TYV0HufadPn26MhqNla7j4+OjJk2a5PydXLrU9XjLli3VHXfc4fr+j9fvVK+99prq27evK8E5obrkIzk5WSmllMPhUB9MelG1b9W8ynMUQjQducXlasmuY8pud3g6lCrqcv8+57Ybh8PhqtkoKChg+PDhmEwmZs+ejZeX17mevt6EhYURERFBREQEweve5JeXb6R1iJFBWx4nv0zx+cw5vP3227Tr3Ay/WG+mTp3KqlWrWLNmjadDB0B/vFbBZqtw+7UrUjLQNB2GUGd3x4RBbbmsCN4pzyHs8+9J+LdzxEhSUhKJiYkkJydTVFTEU089xZo1azh06BCLFy9mzJgxxMXFMWLECADat2/PyJEjGTVqFHNmziCg7w3M//x9xowZg06no7S0FICIiAg6depU6QsgOjqaVq0q18B89913OOx22nT8qyti5MiRaJrGlVdeCcAHH3wAwE033QTAtdde63xeEyZUee5KGas8lpCQQHBwMJMmTQKc3TClpaVceumlfPPNN9jtdmw2GzabDYvFwjPPPEOH255zHd+jRw+sVitz5jjrLxYvXkxpaSmDBg2iXbt2fPLJJwAcOHCA9PR0Bg8e7Dr2mz+289NPPzF37lx8fHzO8JODqKgowFnX8+jdt3DwaCbZ2dlnPE4I0TgF+pi4OD6U37alMe3PJArLrJ4O6ezUJat59tln1fLly1VSUpLaunWrevbZZ5WmaWrBggUqPz9f9enTR3Xu3Fnt37+/UiuDzWZrkMzpbOX/q6sK8TWq1+6+TKnFr6jF7zqb5XNzc9X7P96ghn3eSSmlVHR0tHr77bcbLI66WDF9stqZ0E7lZB5x+7ULlieqlGdWqIKlm1yP2StsKv6Nz6rtyrrzzjtVSUmJGj58uAoLC1NGo1HFxMSo++67r0pXVnZ2drXnANTUqVNrjIkaWlr69eunLrrsSnXPsx9Vevydd95Rmqa5zt2rV69K54qPj6/2Or7NmrtG32iapgwGg1JKqaVLl6rAwEBlNpuVl5eX+sc//lHt8Se6XQad1O2ilLPr58SxZrNZPfzww0oppfbu3auaNWumzGazMpvN6sYbb3Qd89Zbb6m2LYJVTk5Otdc6teXDarVWer1/+O87KjoipNpjhRBNT25xufp6zWFPh+HSYN0ud999t4qJiVEmk0mFhYWpyy67TC1YsEAp5XwzrukmkpSU1CDBnxVrmZpxc5jS63Supv2vv/5amUwmpZRSH/50k7r0845KKaV69+6tnn766YaJo47+/PottTOhncpMT3L7tbO/W6pSnlmhSvelVHo8I7dEpWYVqyt/T1TNlmxW+1POvktoWXK2inlmjnp39cEz73wGny3Zpe555sNzPo9Sf3W7nKvBpyQfdXWiFqpFsJ9z2GzXruqiiy5SSin1yiuvqJYtWyqTyaRCQkJUy5YtVUZGhioqKlI9e/ZUnTp1Ul26dFGXXnyRSvz29fp4OkKIRmLV/qxG0wXTYENtP//88xq3DR48+JSRG41QcRa82YZp64oZdUkPWrRoUWUXnabD4YHQzkSnd/6o7Fb3d7vYsopQyh9TZOWZQsMCvQF4o2ssl+5J4r29qbzXMqBWQ3fBOdLpp59+Yvfu3RjMXpQHx1HYZxLwV1fKAw88wKJFi0hNTcXPz4/+/fvzxhtv0K5dO8A5rfrf/va3as//+rjr62d203pwrn8ZkZGRKKX4c9JdDBg/rdK2F154gRdeeKHa4zZs2PDXN6mbIbP6aeuFEE1Tx5YBrD6YTVy4H80CGk+pw5mcB+N16mD1vzmc52DRQTt39wlyPRwREUFFRQV5eXnoNT2O4/fOY8eO1Tg7p7udSD48UfNhzy8DazE6L1O129tG+AMwUyun+bIt/H3RTv61Yi9H80pOe97ly5fzyCOPsGbNGt6c8SPYbbzz8G2VplXv2bMnU6dOZdeuXcyfPx+lFMOHD8d+fKbSG2+8sdL07WlpaXTsfTERUfGNJvFoNBwO0PSejkIIUY8CvIwMiAtlbVKOp0Opkwsr+Rj4NFPVdYT7mxje3uJ6uGfPnhiNRhYvXoxO07ADe/bsITk5ucYJ1ODMC6v99NNPDB8+nJCQEDRNIzExscZzKaUYNWpUtecB0BuchY81JR8TJ06ssqDaidaBulynOo4iK8pRWuN2g05HYq+/rvW9voK37SVcvnYPKw5kUn48UTjVvHnzuOuuu+jYsSOt2nck5IonyUk/ysaNG1373H///QwcOJDY2Fh69OjBq6++SkpKCocOHQLA29vbVUgcERGBXq9n9+Y1tO1a88/tgqXsoLuw/uSFuFBYvI3YHY289+EkZz3DaVPkMHgx9evvubMznDxHi8Vi4Z577mHcuHHc9EAHCspL+dt//ka/fv2qzHh5shMLq919992uEROnbr/44osZO3Ys991332lje/fdd0/bXaEdH+1it9Vc2dyxY0cWLVrk+r66mWXPdJ3qOMo1NN3pW1wi/L1IH9KNvSl5FNvtZBSWMy71GGOTj3L5liN8cW330x5vBxzlzhaP4ODgavcpLi5m6tSptGrVyjWK41RffvklJrM3sQl/XW/ixIlVJrJLSEhg9+7dAHz22WfMmDGDTZs2UVhYSG5uLoGBgaeNt6lJ/+BerKvWoNrGY/9zNWgamk7nnHRMpzln2tXpT3pcO56oaGh6PaCBXoeGRum+nfh27oVmNKE3eRN68Q3oDNW3igkh3KNdhD8r9mUyJKFptPheUMnHovnzSc4u4e7uvnhdNr7StnfeeQedTseHk/5LaYWVMVd05aOPPjrt+c60sNrtt98O4PqUXpPExETeeustNmzYQPPmzavdR693tnycrubDYDCctpuoNtepjmZoCdRueGbbqEDX/7e0DSfyz20syCrkyk9W4etrxGTW4+NbdfhqWn4puYv/Q1DrznyYWA6Jf7V+bF/0PWu+fR9beSmBzWMY9X/v8fjMbdVe/7u3PyS0y2BMBhPP/vY2HVoEsTV9C5FtWvL8Z+PRa84brNFg4OedP6LpdKw/tJbYXjG06hXLtLems/TQUgJ1epqtPYjebiHn669r/VpVp8Rmo9AWzHezFmM2GdEBmk5Dp2nodKDTaccfA71eh8bxx3Qc30c7ngtolNvLz3C16lVs3UbzD36lNDsNh7UCpezgUChld9Zq2e2AA2V3gHKglAMcCpTd+X+7wznzrt2ONTgENB2OshLyFv6K3i+QkF5XnNNrJIQ4N8k5JUQFeXs6jFq7oJKP4ZdejJpwfIr0kLhK27y8vPjwww/pf4WNd4/9yU9/+8ktMZWUlHDLLbfw4YcfnjZx0J1IPuw1t3zs27ePFi1a4OXlRb9+/Zg0aRLR0dF1uk7NqltJ9fQMZgOjrQYWHixk+6kb9ZVbX7Ln/puKzMME3/ov5m5Pr7TNEdSD8DvexV6cS8G6n/jxzf8j4rY30U75tF1+dBe5qUmYhz6KTpXBkix2kkXGliwqCqwc+u0o1a38GkIEoJGcchiAKQ++TcqBA2TmZoOXiS4xsXQbeSUBYX99olg3aybH9u+jtCAfg9lMaPTxfcKbufYpzsvlzxlfkn0kGYCblGLAdfcS2b4HCg2HgrKiQrYu/YmMg7uwlpUQEh1P5xE34xvcDKU0FHB48wqO7lhLfnoy9ooyDt/xhuvnWlvKakcfHENA6F/FvHl5eXRo357s7Gz0ej0+Pj7MnDmTyy67jPj4eA4fPoxer8doNPLBBx9w5513AhD3QBxJSUmYTCaU3Ub733aweackH0J4UlG5jY4tAs68YyNxQSUfFT88gOt2VZoLXlV/UDpNj71uvRLn5Mknn6R///6MGTPmtPvp9M5CQeWovn6iT58+TJs2jYSEBNLS0njppZe45JJL2L59O/7+/rW+zqkcdufYH2N4HitWrODNN99k48aNpKWlMWvWLOeCZccdO3aMZ555hgULFpCXl8fAgQP54IMPeLHDxfx3zm5yi8r5NbsQgKRXR3H55Zczb948Ro0axbbMbWxNXFNl0rBTVVQ8SVBQEJN7lnHzzddU2nbPPT+xqVs3Nk8fx/jFHzDnyK/8dtUSvN4zsfnNTXz5zTS8vLzo27cvr7z+ClFRUTiUw/W1fPlyvvn+KwzeOq67tD2XbEiizU+zeO6559j2wwx27tyJr68vAJ8F+9KuXTuio6PJyclh4sSJJP4wg6SkJPR6PXa7nW7duhEVEsTg9glklJbyxx9/EEEu377ykPNnqRT9+/cnxmLkhyULCQgI4O2332beb/+pdK133y2ibGAHsrKyeOutt856VJmumnqPBx98kBdffBGdTscNN9zAddddR15eHmPHjuXFF1/Ey8uLf/7zn9xzzz2u5APgqquuYtasWaR8Nwlzi9izikcIUT+UUhzKKm4yXS5wgSUfpi7Xwr7fcCRcgc5afQGlXtO7bajt7NmzWbJkCZs3bz7zzobjyUcNxZsnd/906dKFPn36EBMTw8yZMwkLC6v9dU5hS3d2txjCvU9b46KU4uqrr8ZoNPLLL7+4bqRDhw5l586dvPxQHwB+fda5mNtbU952Hbt27VrWrDlz4nHiOkqpSishAxQVFTFz5kzXrKOBRucfoV6nrzYxu3TQpa7E7ARfo/Nm/8usX9j45SQitqbSoUsXpk2bRnh4OBs3bmTgwIEAlRZMjI2N5dVXX6Vr164cOnSINm3asGDBAnbu3Elqaio5Gzby3fp1/PHHH/z+++9UVFRgMpnYt28fa9asYfv27XTs2BGAjz/+mIiICL755hvuvfdeAJ544gkA13Dai3r3JCMzm5n/eZvRl12CspXjsNn4ef4SPv/uVxJ37SM3v4gVX7xK59gIlM2Ko7icQ4cOVfsaT5w4kZkzZzJ69GhmzZoFwGuvvebafuutt/LKK69QVlZWZdZi79YdyfzyY3J+nelqVDK2aEGbxz88489SCFF/mlu8UUrVuabPUy6o5IPO16N2zka36xfY8xv8M7dq9b+muW3Z4iVLlnDgwIEqxY3XXXcdl1xyCcuWLfsrLP3pk49TBQYG0rZtW/bv38+2bdtqfZ1TVaRkAGAID2TU8F411rjU9kYKUHHsIJP+8yajR48EnK0//v7+pKc7u1ssFgve3t4cPHiQ7777juHDhxMWFsaRI0eYPHky3t7eXH755ZWu/91332Gz2bjtttsqPa44fWJ2YuXbU+mMJnQKrNYy8vOdKxvXpRB29erVdO7cmWbNmpFz0ptBaWkpO3bsoHv37q4E6uQbuk6nw2w2s3LlykqvGUBxqbMg964oL/6VCdunvYv/4mnOLiy9jsSkHFparXTuFsr7y4vYuuh7ipsHoOl1OHrHUV64lv/98QV6vQGD3ohOMzD3u3l89+l3jBo1ii5durimrj/ZvffeS0RERKU458yZg7e3NwEBAbz//vvceOONrm27n7mmyjmEEA1H0zQig7zZeDiXXrHBTSIJubCSD4cDx4Gl6AHV8VpnVf8pNE3ntuTj2WefrXKD6dy5M++88w6jR4+uHNeJWG21Sz6Kioo4cOAAt99+O2PHjq31dU5lTcsFwBR5+pqP2t5Ib2rhx9v/fZO773yWT99xLg//4osv8uKLL7qOmzp1KnfddRdeXl788ccfvPvuu+Tm5tKsWTMGDhzIqlWrqszh8fnnn3PttdfWapTKyYlZTTSTs4OuvKSYJ554ggEDBlS5MX/00Uc8/fTTFBcXk5CQwMKFCzEdPy49PZ1mzZpVOe+JbYCr22b8+PF8+umn+Pr68s4773DkyBHS0tKqHBcc50x+tIuCYdNR9gbp0YfrnN0wDjt+nQOIcyhyC5xFydtKC8nOq0BToGVmoNv1EpoCncL17+JfDnLRiAFce+21ZGZmsm7dukrXfOihh1i7di2bNm1yPfbtt9/SrVs3DAYDzzzzDLfccguDBg0iIiICh93mrJwVQrhVp5YWcoorWHswm6SsYiKDfLg4PtTTYdXowko+dDp0ve/BsfpDdLEDoKIETJUX5zLoTShNY9AXHfl59A8EhbWv8XRFRUWVbmAnFlYLDg521QIkJyeTmpoKOOcOASrNS1Fd8Wd1C6ZpegMKcNTQ8vGPf/yD0aNHExMTQ2pqKhMmTECv13PzzTe7FtWrzXVOVbx6E+i6Y4oMO+1+tb2Rpqydhrlle+aZ4l3Z+am1Iye0aNGC33///bTXPWHVqlWVvj9dAnlyYlYTzWwG4IknnmT79u2sXLmyyj633norw4YNIy0tjSlTpjB27Fj+/PPPqgsq1vABxGg08tNPP3HPPfcQHByMXq9n6NChjBo1qtq6DqvDWWw89v+m8cYnPbnxnrerfd0OHTrEezNa8eA/f6Rr166umha7sv/15bCzaeMmDn01FOOBFI7uPcrOnTsJDf3rzerxxx/n888/Z/ny5ZUSr169ern+/8Ybb/DOO++waNEibrvtNhzWUjSDTGQmhCcE+5ro0zqEY4XltA7z9XQ4p3XBfUTRBv4Da6tLUb8/RcWH/WHLt5B/1LV9aO/HuS+gIzl6HakZ1Q/nPGHDhg10796d7t2dc0qMGzeO7t27889//hNw1nR0796dK65wjgS46aab6N69u2vV0ro4McOpctiq3X7kyBFuvvlmEhISGDt2LCEhIaxZs4awsNMnDWdizy9HVRSjD/A77X4nbqR79+4lODgYHx8fli5dyqhRo1yFjrNnz2bdupW0Geqslxj96mIAvpq/lz+3pFFcVMGh5Hz+N3sXR1Lyzilu7aQ7/j/+8Q+WL1/OoUOHWLVqFddcc40rMQNnS0RiYqIrkdy2bRsHUzN5MT2NeQsWsXTpUiIjI6tcw2KxEB8fz8CBA/nhhx/YvXu3q2YiIiKCY8eOVRvbyYlgz549SUxMJC8vj7S0NObNm0d2djatW7euctyJ5MPLWPsplDVNQ6/TY9Qb8TJ44Wv0JcAUQJBXED9+/SMmg8bh3YfZvn07MTExruOefPJJPv74Y5YuXVplor3169e7/v/f//4Xm83mqoVR1grQS/IhhCe1bebHqgPZFJdXf79oDC6slg8Asx/m27+DzL0w5ymY9QB2gze6i+5HC4rB2yeIzMIjAGTnHTztqc60ns1dd93FXXfdVafwajqfzmDATs01H99++229XOdUhrBIHEU1z256shM30vz8fCoqKggLC6NPnz6uT8onalx0792Iw6E4fPy4Hz8dz5zf/kfELZNd52q3PoU5E4ZiMJxbfqxQrsQsOzubsLAwLr744kqJ2SeffFJpErITN1J/nY55P/zvrAph+/Xrx2uvvUZGRkal/by9venQoUOV4y0W54y7+/btY8OGDbzyyitV9rEeH2btZTj39RtKS0v53//+R4VNoVM2V0x6vZ6ioiLeffddV0vMCVu3biU+Pp4RI0ZQUlKCpmkYDAamTJniGvrrsFWgGS+8txUhGpN2EQH4exk5kltKQoT/mQ/wgAv3XSKsLaa//QJ5KagVb2NN/BZjaRaz/Lz4OTQEf81Ij54PezrKv5woOLW5N5NVZQ7Q1Ty3SHVqupGeXOOilKK0xEqfvj0Zc+OTrLe0577AAFq1D+XVtUnstlqJe2Euvf28ibJ40VxvABQrknPZh51WPkVc1SWAa4dcQniAb5XiqhOplaadOTGbOHEiEydOdH3/8MMP878vp/Pv4FCMes6qEHb48OF06NCBm2++mSsuuoh1W7YA0L9/f3bt2uXqmvv+++8JCwsjOjqabdu28fjjj3P11VczfPhwVzzp6emkp6eTluLsvtq3ex8AhYWFdfq5nOyHH36gvLycCTe3I2rco9zT65HKr99pktOcnJrXkFC2cjT9hfu2IkRj0cLixab8PI4VlBHmZ0ana1wFqPIuERiF4ap34Kp3wGFneNZulq2fwoqsDXy09VOevugpT0cI/NXtUlPNR0NxWPXofJw3ojPVuJzpRlpTjctdN17MzyfVLtwypj3r1h5hyaZU9h0rZEdqAbOVnRNpl7++jExVxhtr/HhjzXIAbu2awoTr78J0vEvi5G4XpRTb0v8gPrQ73sYzfwr4+OOPAbizOBkuvcr1eF0KYfV6PXPmzGHs2LH83+S/WnQWL15M9+7dufPOO5k2bRppaWmMGzeOY8eO0bx5c+64445KxbdQtWVm5FDnKKH169eftm7ldD7//HOuuuoqfH33OotE64ndJt0uQjQGmqbRvrk/Hy7dz539YglvZCveSvJxMp0eS3hHPrxiKs8sf47v9swkuzSPF/uNx890+pqHhqbXHa/5UO6aheQEM3of5zU3bNjAkCFDXFvGjRsHUKcbaW1d1CeSi/r8VWehlCIjPZukDQ9R4r2V+MDX2KL0/Lg5j6UH/fl6SxTz9szkizva0rV1X2zHb6gvrbiX7XkHKLI7E6i740fyZP83T3ttpRR71y3AfsfjVHz6Kl0HXVdpe20LYWNiYli7di275s3juzVrePCaa4jo2rXSPo899hiPPfbYac9zomXmvm/vY+nepfxw1Q90796dVq1a1anA+YT9+/ezYsUKfv/9d7b+9AyqHldKVtZy1zpEQgjP2nesiAcGtSHAq+qSFp4m7xI1GN/naVr6R/DF9i+Yd/g3Xu7/EmPi6jY7aH3SzjDDaUNQNhua0Q99oPPmdKYal9rcSKtco5a1J9bCXA5uvItSr4N0iHifiE4jiAKu7O3cPnfjAp762cyYz7KB39D7puMTDWuynS01/YJbsjrnKF/sm8cX++bRwjuAJ9pfQc+Y6wkPaFvlemZvP0qA8rKiOj2fGp4kULk15mwk7kjkwKsH6D7hrwJn+Cv5mz17Nn/7299c+990000ATJgwoVK30hdffEFkZCTDhw9ny8/P1mvLh7JaXb+rQgjP8vMysDO1gD6tghvdvB+SfNQg0CuQx3o8xrCYYXyy5TNe/PNF7A4717atunqtO+h0zjd0hxuTj4rUDDSDF4ZQz65YWpqTzqZVt1FhOkaXmM8IbXtxlX1G9RxO34R87vnvN2xKjyLWqMPXFIC/ycpnoxfia7KQU5zCoB+cNRmppQU8vekb2PQNABtvXY/ppEJOH58ASoCKsuJzjv9EgqWdY5/rlX2vxP6FnU1/21Tt9toWOL/++uu8/vrrztj0Go7TrJRcVw5bOUjLhxCNQpswP1oGevP7tnSGtAvDx9R4/jYbTySNVPuQ9rwz5C1eXvUqE1ZPoNRWyi3tb3F7FnlibRcc7ut2sSY7Cy0NEUFuu+apio8dYtOG27EbiuiWMJ2gmB417hvkZ+GnJx6k3GbHbNADj1faHuwbxZbbt7Ak6Xvah3Rn77FlPLbmAwB6ft2bL4e8SvdoZ+uWt79zQq+KwoJzfg7q5OrXc2Bz2M659eRUSqdBfbZ82KxScCpEI+Jl1NM7NohV+7MZ2qH6iQ894YKb5+Ns6DQdE/q/yI1tb2by+sm8t+k915wLbovB1fLhvuSj4qhzVIMpyjOLFRWk7GbjphtRugp6dPnmtInHycynmeRKp9MxtM2NtAxsy5CE+9ly+xaGOwfncMfSF6iwlwHgE+icbMtekH9uTwLgRJ3OOSYfdmVHp+r3T1ZpWv12u9gq0EnLhxCNSniAFwHeRpRSZBaWn/kAN5Dko5Y0TeP5vuPpGzGAz7d/ztCZI/h+z/duS0Jck4y5cbSLLdP5qd/Y8vRTqzeE3AOb2LTjFjRlomfvmQS0aNcg19HpdLx19TaGhTUHIPHoIufjJhOlJnDkn3vLh0tjbPnQazjqcfi2w1YhLR9CNELBvkY2HM5l7vY0bHZ3D1yoSpKPOtA0jbeHvMknQz+hXXACL695mUHfDmHS2jcaPAnRjq+X4c6CU2tOCcphRefl3ptJ1q6VJO6/C6MjmN4Dvsc3NObMB50jo8nZHJlR+NfEchUmHfaSc6/5cBWc1kPLh55zL+bMy8ujefPmmEwmJn6wifE3f8Dixc7ZZnfs2EFoaCgmkwkvLy8++OAD13EOh4PBgwe7tgUFVe2OUzYrGBpfZb0QF7q4cH96xwbTsYUFg97zt375iFJH/iZ/BrQcwICWA9iTs4dZ+37m691fMefgHF4eMJHLoi9rkOu6Wj7cMNS2JCOX9R8txJodToKPgV3vbqb1XR3wCmr4ceLpW+ezM/1JvG2t6DH4f5h9q19Jtr490GM8vx+9Ee/vgzjyvz/I8M3GpPkStfggSfseBJ0eTe/8Qm84/q8eTW+g4sA2rOkp+A291vm4To+m1zn/r2kU5qZBoIm1yzcRuC21ylov1pRC9AEm9AFmTpoezfmPUq6HcguyKTIX8eWcT3GgQDmwK4UD59otDuzYlP34Wi52yk0mlJ/JuY/Dgd3hwGF3UFxYRJtLO3LrDYPxXvoHvy3cw5jRo/ntv59w6/89TcuwML565wN+W7ycJx5/nFbePpjNXrz03rvsOrCf7z/8GG+TmYPJySyY/uXx+JxB6o4eIqKl2Q0/MSFEXWUUlnEws4ieMZ6r4ztBko9zkBCcwLN9nmFEq+G8v+nfPLX8ab678lvig+Lr/Vonaj5UA9Z85CUd4+s3djiv57DQyi+T/BZt8UstInXyelT3cFrdEI+ugbLmI+t/ZG/e8/haO9HzsmkYvKqfW2XFihW8+eabbNy4kbS0tCoL0xUVFfHss8/y888/k52dTatWrXjsscd48MEHXfsMHjyY5cuXVzrvyBuHEJTgDUB4cQjlUcOwZ+7CmpruXAZWOcBhB4fd2QLlcIDDhqMo03ndhT8fTxYcziRROUApND9f9MMuZUP6PrS0GlbSrVJaUnUIst3fAWHwdtZHaGhoSkNDQ4cOHRo6pUOPHj06NIdG3/23kxWcAjpQ2vFeH+345EN9+pOfYqUsuiddOwaxZc/3ZKeVcDT9GP+4+W8Up+XSN64n/zEa+eHnX7nusmGs3rSRf973ELqiMsopI9I/kIrcor+6kzSNIkNLDug60qlK9EIITwvzM9Mi0JsDmUW0CfPs3FWSfNSD7uHd+fdl7zPyhyv4ZMsnvDX4rXq/xokivoZIPnL2HmHdf/4gKT8YdEZMOhtjn+qEpU1LAPIO53Pky10EJmawb1smgWPa0Oyi5vUaw6FV0zlQ8ioWaz+6D/8UvdG7xn2Li4vp2rUrd999N9deW3Xo87hx41iyZAlfffUVsbGxLFiwgIcffpgWLVpw1VV/zVh633338fLLL7u+9/HxISAggLLcTDK+X42ZkdDWOZuo0mxYvXLwGRhMSN9eGL3rtl5Cnzrtfe4KFh3mg9QUJj99/xn3bd26NZ07d6bzVZfBP+CJtye5tj376ctoYUF0v2EMjnGPsu7IId78ejoA99xzD++9916lc+0+ms+yNan1+2SEEPVC0zR6xQbx06ajknycL3yNvlzUvDcLDs/ji+1fcFPCTfgYfert/DrduRecntpiMPXtjwlNtpBcHIpm82LF7g/ZmrOfQymHmfCzhaFDhzJ58mRaxLQg8MW+pCw/wkf/fJk/p61iR+Z+zN5e5OXnnfNz27/83xy2v0OIbTidh7+P/gw1A6NGjWLUqFE1bl+1ahV33nkngwcPBuD+++/n008/Zd26dZWSDx8fn2qne/cKCiP6/qsozUojc+sKdDozttRiTFujsc2HY/MTsZnywM+BISeYCr9jGCxeePUJIPyigXV67hMnTqw0dTpAQkICu3fvJicnhwkTJrBgwQKSk5MJCwvj6quv5pVXXnGtn3Ouhg8fTmZmJuvWrSM3N7fG/U4smFdaWkpRURErV65k0KBBDBgwgLFjx7r2U4oq3UpCiMYhMSWPCpuDi+NCPR2KFJzWp1cvfpl+EZfwwaZ/02dGHz7b+lm9nVvTnSg4PfuWjxMtBi/9fTwAq+YdIz3fi66ROVz7Yg+yfEuZ8PJENm3axE8//cSePXsq3ayjBkUScEkzhg66glu6jsFRbmffF9uxl59dQqSUYveiSRy2v0O47Vq6DP/3GROP2ujfvz+zZ8/m6NGjKKVYunQpe/furbRYG8DXX39NaGgonTp1Yvz48ZSUlFTa7h3anOhLbyRy8NW0uuVWfO7yhh4FlLc8hMOvBENOMDafXExFzdAdtVDxk8aBd74mc8OfdYq3Y8eOpKWlub5WrlwJQGpqKqmpqUyZMoXt27czbdo05s2bxz333HPGcyp15hzgyiuv5M8//2T79u2EhoYSH+/sLty6datrn9zcXNq3b0+bNm0A+Oc//wnAxRdfTPPmzfntt9+qXleSDyEapczCcppbvIgKrr8PxmdNNTL5+fkKUPn5+Z4O5azty9mnOk3rpDpN66Tunne3KiwvPOdzlpYUqJ0J7dTS/0w863MkLd6qZj70jfr3A4sVoP51xz9URX7Nsa1bt04B6vDhw1W2ffzuJ8rfy08dfnq52vvsH+rokmTlcDhqHYvdblfb5o1Xixa3VjsXv1ynY08GqFmzZlV6rKysTN1xxx0KUAaDQZlMJjV9+vRK+3z66adq3rx5auvWreqrr75SLVu2VNdcc81ZxWC32VVFSaE6MneuSnlmhUp5ZoU68MVXqjjj6BmPnTBhguratWutrzVz5kxlMpmU1Wo97X5585PUqy//UeP2q666Snl7e6uDBw9WerxNmzZq0KBBSimlpk2bpnQ6nSouLlZKKdWuXTt14403KqWU2r9/v9Lr9eqLL76odPyO5Dz1yU87a/18hBDute1InjqWX9og567L/Vu6XRpAXFAci65fxMOLH2Fd+jr6fdOPv3X6G+N6jjvrc+q0EzOc1m4tlBOUUhyct4n1v+wnmzD8yhUDujurG+OvGYAxoOZ+v/z8fDRNIzAwsMo2L4sZnVmPcWwC+T/tx3v+IfauPErzW9sR0Lrq/idz2G1sW/AkWebfiTb8nfiBT9TpOZ3JBx98wJo1a5g9ezYxMTGsWLGCRx55hBYtWjB06FDA2RVzQufOnWnevDmXXXYZBw4ccH3Kry2dXofO24+WI0dS1u8Yaf9bhmlPNCnW70m4//EzHr9v3z5atGiBl5cX/fr1Y9KkSURHR1e7b35+PgEBARjOYSKv9evXM3v2bAwGAx06dACcq/AWFRXx888/M2jQIEwmEzqdjjfffBMfH+enpNmzZ3PJJZfg5eUc9XT99ddXWksGQFVTKCuEaBxsdgebknO5oWeUp0ORmo+G0sy3GT9e9QMbj23krnl3MXX7VIZEDaF7ePezOl9dF5ZTSrHv5zVsmJtMri6MgHI7A/uU0PFv16Ezm06debyKsrIynnnmGW6++WYCAgJq3K95z2aEdwtj/0/70TYcI+/TraTHWGh1Z3uMvlXXhLFXlJO48CHyvFbQ2vs5WvU7cxdCXZSWlvLcc88xa9YsrrjiCgC6dOlCYmIiU6ZMcSUfp+rTx1kSun///jonHyfzsjQjaGgniqbl4HuwByVZyfiEVp9InLjutGnTSEhIIC0tjZdeeolLLrmE7du34+9fuag1KyuLV155pVLiVKPTdLv07t27xgX9OnXqRHZ2drXb4uPjSU9PP/1lHec+n4kQomEs3p3BiI4ReJs8v/ijJB8NrGeznjzc9WE+2vIRd8y9A4Cr2lzF2ISxdA3reoaj/5J5eDcA6gwz0znsDnbPXMmmJenk60MJtNm49JIKEm4fW+tpr61WK2PHjkUpxccff3zG/fV6HQk3tKV0eAx7p+7AcjiflFfWYuzfgsgrW7sWVLOVFbN58T0UmDfR1vIaUb1urFU8dWG1WrFareh0lcuZ9Hr9aaemT0xMBKB583MfxRPYriO6+/aS93kKafMX0+bWv9W478mFs126dKFPnz7ExMQwc+bMSrUdBQUFXHHFFXTo0KHSCrWNjQIpOBWikQr0NjaaP09JPtzgwa4P0q9FP9alreeDxPeZfWA2sw/MZlDkYJYfWcadHe7kiZ5PYNDV/ONIWruIYCCsc69qt9ttdnZ8tYzElTkUGkIIdpQz7FKIu/HmKjfi0zmReBw+fJglS5acttXjVN4WM12f6EHm7mxSv9lDyKpU9m08Ruj18XjHVLBm7UiUyUaH8Hdp3uXyWp/3VEVFRezf/9d8GUlJSSQmJhIcHEx0dDSDBg3iqaeewtvbm5iYGJYvX86XX37J22+/DcCBAweYMWMGl19+OSEhIWzdupUnn3ySgQMH0qVLl7OO62QBbdqSE7od87Y4rMXFGH19a3VcYGAgbdu2rfT8CgsLGTlyJP7+/syaNQujsRZFuaq6mULco76ngBdC1I8QPzNlVs9PrQ6SfLiFpml0C+9Gt/BuXNv2Gv61/l8EmoL4do9zOffpO6czfed03h78NpdFX4ZOq5osnJjZNLJdz0qP2ytsbP1iEVvWF1FsDCaMMgaMMNL66tvq3Px9IvHYt28fS5cuJSTk7NZ0CWsXQujEfhyYewjb8iMUfbOVzUPvBz10av4pzdpX3/VRWxs2bGDIkCGu78eNc9bS3HnnnUybNo1vv/2W8ePHc+utt5KTk0NMTAyvvfaaa5Ixk8nEokWLePfddykuLiYqKorrrruOF1544ZziOpUqc/4cbUUltU4+ioqKOHDgALfffjvgbPEYMWIEZrOZ2bNnu+otanH1swn5nNXUnSOE8KxjBWWk5pUysG2Yp0MBJPlwu1DvUP418F8APNd3PHty9rA0ZSkfJn7IuGXOm+jv1/5OlH/lgiDXm/rxxMRWWk7ifxaydUsFpcZAmulLGHJVFDGX317jtU/XYtC8eXOuv/56Nm3axJw5c7Db7a7+/eDgYEwmZ/1GcnIyOTk5JCcnY7fbXd0VcXFx+Pn9VbyqaRpxl7eifHAku75e5Xo8LT+JMIfdNWPr2Rg8ePBpb3IRERFMnTq1xu1RUVFVZjdtCKbuRtRyyPh+FTGPjql2n3/84x+MHj2amJgYUlNTmTBhAnq9nptvvpmCggKGDx9OSUkJX331FQUFBRQUOBe6CwsLQ6+v+TV0OBweGfKqkKG2QjQ2BWVWFuxI5/Z+sZ4OxUWSDw9LCE4gITiBIVFD+H7v93y35zsu/+lyXur/EmPajEF/Ylr14zdbR5mVtVN+ZvsuRZnBn+amHIbf0IrISy8947VO12IwceJEZs+eDUC3bt0qHbd06VLXhF3//Oc/mT59umtb9+7dq+xzMrOPkW73DSLzyHI2rZ1INpNZ9PssOnZ6jZaxZ1d821S0HHUFhw79iOFwOOV52ZgDq7YkHTlyhJtvvpns7GzCwsK4+OKLWbNmDWFhYSxbtoy1a9cCzuTuZElJScTGxtZ4bRtQUW7nx2U7/1oeRkFefh6fTXmRI4cPYDKbCbAEc+ejLxDePIpfv/svKxfN5lhqMg+Pf4vufQYfP1bx+lN3YLM6F0+0222kpRxk/JQZtIyKcw3AUihKihxYAj07c6IQorKMgnJMhsY1rZemGlk7aUFBARaLxTWk8EIzN2kuT6942vW9j8GXBdfPZ/PXn1A+I5nk6GFUGP2INKRx0W09aN6vowejrRulFDs3LCAl/VUM3unYi0dw8dBX8PX1/CJHdWG3ObCf6Det5lO+q7tLg+yNq7D9AjZjASF/745fWHO3jAbJ+e0A72/dSlhcpCsWHRp5eTkcSdpF5x4D0Ok0ls79jk2rlvD06//h4N7tBAQGMfW9iQy/+lZ69b8UTXPWcOh0x5+XBuv+WMiP//uEt/47C51Oc+6jaWiaRllpCRF+dgb3793gz1EIUTtrDmbTt/XZdaPXRV3u35J8NEIFFQVM3T6VNalr2JO+hwEHhtEmrz8muw+RplT63d2fsB71v3iduySu2c6mba8TGbsBu82b5s3H0a3bnZ4Oq1as5eV8/vQi7OU1rz1zKn8dXBrgLBK1A6VeBkw9wml91dkP6T2TvN8PsnjzH1z3/Olf1w0bNnD99ddz6NAh12ODBw/miSeeqLRY38lGjRrFiBEjeOKJJ6psy8zM5PDhw/TqVX1htBDCfXKLK9h7rJC4cD9C/Bp+tem63L+l26URCjAF8HiPx3m8x+NMHv9/GA/uwM4OSoGsFj1YtcxGi6OptOrWjpDI8CYzr0JhfjEzp88mJXsPZq0n7eJvJ9f6Ltk5L/P73O/p3estwsISPB0mdruNpB2bsFltOJeBdX7613Qa5aXl2Mu9CYtPJaqjAU3T4VylQIfGSWWex/s5TqT2R7f44acPwmADv/xyWJXKvvRi4u+vn9E1VdTyI8V7773HmDHV16NUJyUlheXLl/O///3vLAMTQrjLjtQCLo73/Dou1ZHko5G7+fa7+OGl8a7v89K3kZu2jf1rraz4CjSdD17+EVjCowiPbUVk+3hadW2Ll1/tP5m7w7K5a/ljzRLsWOkQ25trbh2O0WTE4RjBxk2fkZX1IZsTr8Lb+0b69X0eg6Hhs/Sa7Fr/J8unnX4yt84DY2jf+5Lan/SkdfDSNx7D9v1eKLKeZYS1UIvk4/XXX2f//v0sXry41qedNm0aV155JaGhjfMNTQjhlJRVzO50ST7EWYrp0Jn/+24OOalH+fbl59A0jfs/+Jyjuw9zePse0g8cJDctmcxDW0nft5ytCwE0DKYQfINaENQihubxbYjt0paINpF1mvOjPqQlZzDz61nklqdhMTXj+puvIar1XyvJ6nQ6evd6kMLC6/hz1VOUl89gwcIFtEt4ldatz21I7tmylpUDBkY+asHH399Z7KscKKVQSmE0GQmPPPtur+B2wWQAWpmt3mKu1mkaxKZMmcJPP/3EokWLXNOnn4lSiqlTp9Zq4jkhhOeUWe2k5Zdy7yWtPR1KjST5aCKCW7Qkun1H9qxawaL/fsiIBx8julPlX6yivEIObdnLkV37yDx8iILMFA4lLuDQ5nJWzwQ0M2bfZgSERRIWHetsJemWgF9Q/dfW2Gx2Zn+zkG3716NDzyW9hjPkir41Jj/+/mGMHDGNvXsXsnffBJIOPcCBg5cwoP8UfHzcnbk7mw3CI2Pxr2aEyrna/tpawgF9eAOuLHmaUq63336bb775hkWLFlW7bk9NlixZgs1mY9iwYfUQoBCioWw7mo+X0fNTqJ+OFJw2IaWFBXx07y0A/N93c2p1jMPh4NjBoxzauoe0/QfIOZpMcW4qtvIsTtxkdQYLPpYWBDWPJiKuNTGdE4hsF4v+LBcv27lpP7N//ZUyRz4tg+IZe9eYOg2/tFrLWfnna1RUzEQpIxHNHqNr13vdUtsyadIkvpo+lQMHj+Bv8WXAgAG88cYbJCQ4a1FycnKYMGECCxYsIDk5mbCwMK6++mpeeeUVLBaL6zyPPfaYa7n69u3bk5iYiK3YyrFNx1C/JVGi02j7+sUN9jzyZh9gyfY/ufa5Oyo9fuTIEaKiomjdurVr7Riz2czatWt59dVX+eSTT8jMzMTf3x8vLy82b95MWJhzUqJbbrmF+Ph4XnrppRqvKwWnQjQOP2w8wvU9I916TSk4PU95+wcQ3jqenLSjtT5Gp9PRPC6K5nFRwF/dGGUlZRzeup+UnXvJSEoi71gKR3auJGX7fNb/DGDA5BOOf2gkoVGxtEyIo1W3dgQ2C67xWkUFJcycPpvkrN2YNX+uufwmuvZpV+fnaTSaGTL4ZdLSbmLjpqfIzpnMvPk/0bvXO4SG1v18dbF8+XJuuPpKbAc7ccXf43l18mSGDx/Ozp078fX1JTU1ldTUVKZMmUKHDh04fPgwDz74IKmpqfzwww+VznX33Xezdu1atm7dCsDuj7cQmFUKgM+oVg36PGoSGRlZ4wRtL7zwwmlneZ0xY0atrtFUCqCFOJ+ZDDrKrPZG2wIiyUcTE9u5KxkH95GyYytRHc9+pISXjxcJfTuR0LdTpcezjmRwKHEPR/fuJ/vIYQoyU8hO3sieP50FmDq9P96W5pi9vVBYiWjTE73RREF5Mbszj2DXrLSP7cU1t47AZKrFGiSn0bx5B664fA4bNvyXrOwP2LR5DD4+N9K3zwsYDFVXzK0P8+bNY9Oyuaz+1kznzp2YNm0a4eHhbNy4kYEDB9KpUyd+/PFH1/5t2rThtdde47bbbsNms7mWun///fcBZ0vAieRDn1kKGpR3C6fNJS0bJP4TlDrNsrZCiPOaw6HIKCjDandI8iHqR3Tnbqz75Qc2zf2ViDZtMdZ6rY/aCY0MJzQynF78NZLDWmElefsBknfs5diBg+QdSyHnqPOGmnt0FwDFrTpgMPpx1133EdX63FeGPUHTNHr3vo/CwqtZ+edTlJXNYMHChbRv9zqtWg058wnOgnINFdHIz88HnFPM1+REE6PhDN1Udi89lNup2JaFurGttBAIIeqd3aFYuT+L0V1b4O91bh8AG5IkH01McMtIfEPD2b9+NR/edwtP/O+nBr+m0WSkTY92tOnxV5eHcjgoLynBYDKhHA7eeO0VwoN96zXxOJm/fxijRk5j9575HNg/kQMH7+XAwSH07/cvfHxqTgzOyvFuCaUUTzzxBAMGDKBTp07V7pqVlcUrr7zC/ffff8bTtnv+Ig68sxn/3DJ2P7eSVs/0xiuwfpNHl0ZVySWEcJc96YV4G/U0C2ig95Z60rgmexdn5B8cyn3vfQqAvaKCtH17PBKHptPh5eeHwWTC6OWFTWegpKKiwa/bLmEEw4cvRa+7EYfjD1asGMzWrdPPfOBZePIfT7F9+3a+/fbbarcXFBRwxRVX0KFDByZOnHjacyml2PPZdrxznDUf/goKkwrqO+RK1xNCXHjWH8qhZVDjmuepOtLy0QTpDUbunPIhXz8/jhkv/B9XjXuO+D79PRuUppFTWu6WSxmNXgwZ8jqpqTezafNTZGa9zNx5P3BR73cICYk74/EOu53dG1dRXlrqbORQiowkHTq9IrC5g7SDOcxc+SMH8jbwxx9/EBlZtWK8sLCQkSNH4u/vz6xZszAaT9+8mbwkBf+0LDCAPcoXDdBlZ5GzOPuUPU/9PHBK18wpXTVale3Oc5QfzcWh2SgpLqjUveOsBTnpGKWh0xsqJSunJi41bVMntRCd+H9+fr4kPkJ40O19Y5i++hBje0Xha268t/jGG5k4rdCoGB767Cs+uPMGZr/9Oje/8iYt2ravst+KFSt488032bhxI2lpacyaNavSmh1FRUU8++yz/Pzzz2RnZ9OqVSsee+wxHnzwQdc+6enpPPXUUyxcuJDCwkISEhJ4/vnnue6661z76JQDi7d7m/latOhMRMTvrN/wCTk5H7Fx05X4+d5Knz7PotfXnAwc3p3I0i+sVPfrr5Ti+z9/ZMuhP1i19g9atao6KqWgoIARI0ZgNpuZPXs2XrWouzmybTX6Lt9hLoxCHb/3Zx0+w01aOyUJqBptzd/7gLcll/lzfj/tMZpWTGD4syd9f0pyc9L3NW07+V+lFO3bV/09FEK4h06ncWe/WKYs2MPTIxt2dOC5kOSjCTN5eTP8gcdY8On7fPPiU1z/wqvEdO5WaZ/i4mK6du3K3XffzbXXXlvlHOPGjWPJkiV89dVXxMbGsmDBAh5++GFatGjBVVddBcAdd9xBXl4es2fPJjQ0lBkzZjB27Fg2bNhA9+7dATA6HBjdPHsqOIcS97noYfLzr2XV6qcoKZ3G/AXz6dhhEjEx1U9/bj2+NPyIh/1pFh2LpmlYyxU6vY6nxz/DliPLmPXrDwSHBJOeng6AxWLB29ubgoIChg8fTklJCV999RUFBQUUFDi7T8LCwtDrnZXl+/fvp6ioiPT0dEpLS9mQuZuKVC8ef/VNTKaGGalzNpb8chODBw/2dBhCiHqk02nEhvh6OozTU41Mfn6+AlR+fr6nQ2kybNYKNWXsFerrF5867X6AmjVrVqXHOnbsqF5++eVKj/Xo0UM9//zzru99fX3Vl19+WWmf4OBg9Z///Mf1/aQXn1cfTn79LJ9B/dm5c46a81tvtXBRG7Vo0QOqtDSvyj57Nq9W/35gsTpyYFeVbTibBqp8TZ06VSml1NKlS2vcJykpyXWeQYMGnXGfxmDxzzd6OgQhRAP4bWuq269Zl/u3FJyeB/QGIwNuvI20PTspzMmq07H9+/dn9uzZHD16FKUUS5cuZe/evQwfPrzSPt999x05OTk4HA6+/fZbysrKKn1i1mgcRY7t21/B0MuWodOuwe5YwtJlg9i2rXaTY8Ff9Qunft11112Ac7n5mvaJjY11nWfZsmWVtv3y4af88P6TlfYRQoiGciS3BKvd4ekwaiTJx3ki+0gKAGl7d9fpuA8++IAOHToQGRmJyWRi5MiRfPjhhwwcONC1z8yZM7FarYSEhGA2m3nggQeYNWsWcXEnFXce7+9vDMxmHy699E06tP8Ouz2UjMwXmTvvGnJzD3ksJqVsQOOc7EcIcf7pEhnI4ewST4dRozolHx9//DFdunQhICCAgIAA+vXrx9y5c13by8rKeOSRRwgJCcHPz4/rrruOY8eO1XvQoqq0fc6kIzCiRZ2O++CDD1izZg2zZ89m48aNvPXWWzzyyCMsWrTItc+LL75IXl4eixYtYsOGDYwbN46xY8eybdu2en0O9S0ysjujRs7H1+cxNG0v69aPYvXqySjliU8DDuqa6+fl5dG8eXNMJhPe3t6EhISwePFiAOLj4/H29sbb2xtfX1/efPNN13Hx8fGuYwICApg+vWGGIgshGq9ym4PwALOnw6hRnd4NIyMjmTx5Mhs3bmTDhg1ceumljBkzhh07dgDw5JNP8uuvv/L999+zfPlyUlNTqy1yFPXPy8+5iE9Fae0z3dLSUp577jnefvttRo8eTZcuXXj00Ue58cYbmTJlCgAHDhzg3//+N1988QWXXXYZXbt2ZcKECfTq1YsPP/zQdS6Nk2cGPbNJkybRu3dv/P39CQ8P5+qrr2bPnspzlnz22WcMHjyYgIAANE0jLy+v1uc/Qa/X07fv4/TtswCHvRslpf9h776JdT7PuXK+NnVvaHzwwQcpKyujtLSUSy+91DXCaNGiRZSWllJaWsp///tfnnnmGWw2GwBjx46loKCA0tJSnnjiCe655576fCpCiEbuaF4pVpuDgEY8w2md3g1Hjx7N5ZdfTnx8PG3btuW1117Dz8+PNWvWkJ+fz+eff87bb7/NpZdeSs+ePZk6dSqrVq1izZo1DRW/OK7cagNNq3a4bU2sVitWq7XKMvd6vR6Hw9k6UFLiTGZOtw8A2mlXca9i+fLlPPLII6xZs4aFCxditVoZPnw4xcXFrn1KSkoYOXIkzz33XO1PXIPAwJaMGvUNEc2moOmd85Es+TaJwjw3NUsqG1odk4/AwEAmTJjgeu1Hjx5NUVERADExMa79Tm1dfO2111zDf2+99VbsdjtlZWXnEr0QogkJ9zez9Wg+5Ta7p0Op0VkPtbXb7Xz//fcUFxfTr18/Nm7ciNVqZejQv1ZObdeuHdHR0axevZq+fftWe57y8nLKy/+anOrEsEVRNwaDHpRCOyVJKCoqYv/+/a7vk5KSSExMJDg4mOjoaAYNGsRTTz2Ft7c3MTExLF++nC+//JK3334bcP4M4+LieOCBB5gyZQohISH8/PPPLFy4kDlz5rjOq6HVqeVj3rx5lb4/dQE3gCeeeAJwFm/Wl44dryEubjhzcueQujGI6c+vpPsVzek/qlODrrWilAOlnVuJ1cSJEytN8963b182btyI3W5nypQp1a4tc++99xIREVGruUiEEE2fze5g1YFsnrgsHp2u8a4fVed3w23btuHn54fZbObBBx9k1qxZdOjQgfT0dEwmE4GBgZX2b9asmWuuhOpMmjQJi8Xi+oqKiqrzkxBgNjv79nb9sbTS4yfm4jgxH8e4cePo3r07//znPwH49ttv6d27N7feeisdOnRg8uTJvPbaa65JxoxGI7///jthYWGurpkvv/yS6dOnc/nll1cO4hzqTWuzgFt9MZt9ue7eG7nqHx3RB5STODuTL/65gIyjOQ12TYUD7RwKTocPH05mZmalWpw1a9ZgtVqZPHkyL774oqtV5ISHHnqItWvXsnDhwrO+rhCi6UjNK2VTch4Xx4U26sQDziL5SEhIIDExkbVr1/LQQw9x5513snPnzrMOYPz48eTn57u+UlJSzvpcF7L+N9wCwMbff6n0eE1DQ6dNmwZAREQEU6dO5ejRo5SWlrJ7927GjRtXqRUgPj6eH3/8kWPHjlFcXMyWLVu4/fbbK11H0+rW8nEyh8NxxgXcGkJMm5Y88NoVtB3qQ0mOYuarG5n71RocDTI8zc7ZDi678sor+fPPP9m+fTuhoaFVtj/99NPYbDZ+/vln12OPP/44n3/+OcuXL3frayqE8JyUnBIuahWMvpEnHnAW74Ymk4m4uDh69uzJpEmT6Nq1K++99x4RERFUVFRUKQo8duwYERERNZ7PbDa7Rs+c+BJ117JdRwAykg5grXDPGitVnGXLxyOPPHLaBdwakk6nY9j1fbllQh98Wlg5uLKET5+dz8FdR+r5So4613wAjBkzhiVLlrB9+3ZXnUdJSYlr1AvA1KlTsVqtDBgwAHAWfn/88ccsXbqUfv361U/4QohG7XB2Ma3D/DwdRq2d8zwfDoeD8vJyevbsidForPSmuGfPHpKTk+UN0A30BgMhUc6b0x8zprn9+ppWt9EuJzz66KPMmTOHpUuXVruAm7uEhAdx94uX02tsGPYy+P293cx85w/2rE2nKLfsnOcwUcoBWt26XdavX8/s2bOxWq106NABb29v/Pz8KCkp4ZprrsHLywtvb28ef/xx3nzzTdc6NO+++y4Oh4OhQ4e6huPu27fvnOIXQjReSimO5pYS5t94h9aeqk4Fp+PHj2fUqFFER0dTWFjIjBkzWLZsGfPnz8disXDPPfcwbtw4goODCQgI4O9//zv9+vWrsdhU1K87/vU+7912LZvn/kpeWirXjn/JjVfX6tTyoZTi73//O7NmzWLZsmXVLuDmCX0u7UxexTG2LEwhI6kFi/Y4uxRDo/wIaeFH24uaEd0xpO4nVg6gbsPeevfuXWPSc7rC7MYy2ZsQouGVWe2sP5TDRa0avl6uPtUp+cjIyOCOO+4gLS0Ni8VCly5dmD9/PsOGDQPgnXfeQafTcd1111FeXs6IESP46KOPGiRwUZVOp+fRqd/x/h3Xk5S4kZzUIwS3cE9rgnOej9p75JFHmDFjBr/88gv+/v5VFnAD52q66enprtE627Ztw9/fn+jo6AYrTM3Pz2f1mpW06daGK67oTebechZN20VWShFZKUXsWZvOpXe0I65nM4xmPXa7g4LMUtIO5JOfUULnwVH4BZmx2xxkJhdSUWrDYNKjNPtpu10cDkeV4cxCCHE6u9IKKLXauTgutEFH6zUETTWyj0kFBQVYLBby8/Ol/uMsbV+2iPkfvwvAuG9mVxl+2xDefmUiSsH//XNirfav6Q9l6tSprnVUJk6cyEsvVW29OXmfs1VWVkZJSQkbN24kLT2dtvHxtGzZkk2bNrFl61aefuqpSsNTlVJkJheyevZBjuzIQdNpeAWaKM2pXX2NT/hcLGHhXPv3p6ps+2PxFPLzvuGiPl/gHxTF9sQf6dnvHrckI0t+uYlLx7i/1kYIcW5ScpxzFEUF+3g4kr/U5f591vN8iMar0+ChGM1ezHl3Mn98+yUDb7mrwa9Z13k+apPzTpw4kYkTJ55DVH9JTk7GaDSSl5fHqlWrqoyqOnjggOv/lsDAKvNiaJpGeEwAY/7ejcyUQg5uziQvo4TCsAqatfAjuIUvZh8jO1enYQnzJijcG58AM0u/3k1FiY3ygnZocT/w68zfAedS15rOD5QVpYrRG/uwbtWLKKw4lIO8OYmUV6zl8mvWoNPLn6kQorLIIG82Jeeh12m0CPT2dDh1Ju9q56m2fZ0jH9b/8gP9rr8Zo6nhC5EaWSOay65du/juu+9c35u9nH+o3r5+jBg2lK5du1JRUUFKSgqpqal069bttOcLi/InLMq/2m1xPcNP8/09OBwOKsoLKcxPp7SkgOjWvQEoLcrGbivHL7AFqSnbOHxwOeVZa6goK8DLt2n15QohGp6mafSMCWL1gWxMBh2hfk2n2BQk+ThvaZpGeKs2ZCQd4Lf3/sXVT73YwNdr0NOfkz9WrkKvN3DzzTeh1+tdy9orpVxdG2azmbi4uMor9TYAnU6Hl7cFL29Lpce9/f4qYm0R1ZkWUZ1Zt9KLRb/fx5U3/NigMQkhmq5+bUJYczAbi7cRo77p1I01nUhFnV333MsAHNiwFoejYef4d04y1vjs37+f1KMpdOrcibi4OFq1aoWmaWia1ugLPC+6+F40zZdNq/7Dto3fYa0o9XRIQohG6KLYYLYeyfd0GHXSuN99xTnxCbDQe8z1ALxz8xhWfT+jAa/W+Jo+Dh8+zFdffQXAyBEjPBzN2enc/RHS09eTlrqWxb8/w5Z1X0sSIoSoRKfTmsSspieTbpfz3MBb7kLTNNb9/D2rf5hBdloag26+nYCw8DMfXGeNp+0jPz+f6dOnA/Dss8822YXVotv0IbpNH+b/+hReJh2HD31IYVEmF1/6hKdDE0Kcg4OZRaw5mMMtfaJr3MfhUOw5Vkip1dlyrdO0Sh/zFGB3KGx2ByVWO3aHajJJiCQfF4BLbr6T/jfcypaFc/nzh2/Yt+YPrvj7/5HQ75J6u4YGNKZ60z///BOHw0F0TKsmm3iczD+gFdkZX9Gmzd85dHiJp8MRQpwji7eR4nJblceVUuzLKKKwzIamQbsIf3xMp79VOxyKtIIymkjeAUjyccHQGwz0GDWaTkOG8s1LzzPn3Tc4sHkDJXm5tOragw4DL8Xb//yYV+XIkSOsW7cOgL/ddYeHo6kf/Qc9jMPxIIt/e4oWkYM9HY4Q4hyF+JnxMv5V+ZCUVUxOcQUAbZv50bZZ7WdE1uk0Wjax4baSfFxgTF7e3PryG2z87WdW//gt9opyDm/ZxLKvvqDbiNFccuOtmLzrPmlNYxrt8tu8BQDcc889TW7Wv9PR6XR4+7bk6OGfOHr4JxR2Roz+Hyav6of9CiEaNwVsPJwLQKtQX1qF+no2IDeS5OMCZDAa6XP1DfS4/Co0TUdRdhbbli5k3c8z2brwN/4+7XsMxrqtQwKNo+KjoqKCtCPJBAQGERUV5elw6t3Fl44DxgFwYM8K5v0yFr+APkQ070p8h+EYTXV786rQbWuAKIUQNTmaV0p6fhmaBmO6tcTiXff32vOBjHa5gBlNZgxGI4ERzbn4pttp2a4jDpuNnSvqXlOgNZLRLgsXLgRg+NDLPBxJw2uTMJBBQz8iLLwjaWlbmTvrCnKO1W31WqOjUwNFJ4Q4Iae4go2Hc9l4OBf98cnBekQHXbCJB0jLhzhO0zSue/5lvnnxaRZ+9gGF2VkMGHurp8OqM5vNWcAVExPj4UjcwxLSis4hzhWBs47dyp/Ln2T02F9rf4LGVCUsxHlEKcXu9EJKKmwE+pjoGRPk6ZAaFWn5EC5Gk5mbXpoMwJofv+GtG69k1x9Lazdtuub5bheHw8HmzZsBSEtL83A07hfaLI6Q8GEsmP1ErfYvyE1Gr288i1IJcb7YcCiHTcm5RAX70DMmmDZhfp4OqdGR5ENUYvLy5tGpM/HycxYx/v7vt/hi3EOk7Nh62uM83emSlJTEyy87Z3Tt1KkTbdu29XBEntF/8GNomoFfZ45mwZzxp52QrLgwHaMx0H3BCXGBiA31xeJtxM8snQs1kVdGVGH28eGRz78BYPO8OSyd/h9mvvwcoW0SuOjy0QS3jMI3MAi/oMaz4Nn27dsBGDt2LAkJCR6OxrOGjZ6C3V7B5jVTmffztViCBjFw2LOV9tm+7jPSjv5K194veShKIc5fPiY96fkOT4fRqEnyIU6r+8gr6TpsFAc2rmXNr7/w+wdTKm23RMbQqmNn8tJTsQeGeiRGu93Ojp278LcE0qFDB4/E0Njo9SZ6DXgAh+M+Fs15khULXqXf4P/DaHLOBVBWfIzI6BsIj+zh4UiFOD8opThWUA7A/owiBsSFnOGIC5skH+KMdHo98Rf1J/6i/hRkZVCSn0/Kjq2kH0oi71gaWxfPRwsKx6Hp2LZtG507d3ZrfIWFhZSVlji/ysrOixlN64tOp2PoFW+xYvG/mPfzjaDl0r7dOHLz1hDVZpSnwxPivFBcbmPj4Vxah/mi0zQujvfMB7GmRJIPUScBoeEEhIYT0Sa+0uN7tyQyY9bP/Pjjj+Tk5DBo0CC3xZSVleX6/86dO+nRQz7Nn0ynNzB4+HMAJB3YwK4dv+BvjqVZdC8PRyZE02azO9hyJB+dBpfEh55Xkxo2NEk+RL2I79KVQTm5LF++nKVLl5KRmUXnTh2Ji4sDwGCo31+1oqIilixdxratW7BarQC0jIq5YAtNa6tVm17Y/ROweJs8HYoQTVaZ1c72o/nodRpdIy0Y9DJ2o640VatxlO5TUFCAxWIhPz+fgIDzY62RC0lFRQW/z53H7j17KCspdj0eHNYMa0U5/fv2oV+/fud8ndmzZ7Np0ybM3r5EhIcydOjQ83JG04ZwJLeEI7mlXBQbjK4prUQlhIcVllnZk16Il1FPxxYB0tJxirrcv6XlQ9Qrk8nE1WOuAiA9PZ20tDRyc3NJO5bBvj27mT9/Ptk5OVw+ahQ63dl9Wti3bx+bNm2iXfsO3Dj2BnkDqKPIIB/C/M0s25tBv9aheJv0ng5JiEbN2b2Sh5dRT6/YxjPKrymT5EM0mIiICCIiIlzf2+12Zv0ymw3r17Nzx04efPCBOrVuFRYW8uVXM8g85pxA7PJRIyXxOEtmg57BbcPZlV6AhkaHFtLKKMSpyqx2dqQWANAtKgi9tBTWG0k+hNvo9Xquv/YaNOVg27ZtvP322wwbNoz+/ftTVlZGUVERYWFh1R5rs9l46623ABgwYAC9e/eWbrlzpNNpdGxhYVNyrqdDEaJRyS2u4EBmEV5GPd2jAqV7sgFI8iHc7pprrqFFixbMnz+fhQsXuhaDA4iLj+e2W6uuKZOeng5A8xYtGDZsmNtivRAEehvJK6kg0EeKUIUAOJhVTI/oIEk6GpAUnAqPKS8vJzExkZV/rqKwIL/Stm7dumGxWPD19SUsLIwVK1aQlJTEww8/THh4uIciPj8ppUhMyaN7tCx8JcS+Y4UAxDfz93AkTY8UnIomwWw206dPH/r06QM4azo++eQTiouLSUxMrLJ/QvuOkng0AE3TPL4ooBCeppRibVIOrUN9CQ+QiQobmiQfotHw9/fn8ccfp6ioCJPJhJ+fH7m5uaSnp9OyZUv8/eWTSEMpt8o6FOLCVWa1s/5QDn1ahWAyyJwd7iDJh2hUTCYTwcF/DWULCgoiKEi6AxpaUbmNNQez6dMqWEYQiQvK/owi8ksruDhOZih1J0nxhBAM69CM1mG+LNub6elQhHCLtPxS1h/KIcDLQM8YSbrdTVo+hBAAhPt7cchUgt2hZD4DcV5LzSuloMxKb5kwzGMk+RBCuCQ082fl/iw6NA8gzN/s6XCEqBcOh2J3eiHlNjsK8DMbaBchoyk9SZIPIYSLxcfIoLZhrD+UI8mHaPKsdgdbj+QDio4tLHgZZSmBxkKSDyFEFTa7IquonFA/SUBE05OWX8qBjGL8vAx0iwqUbsRGSJIPIUQV/dqEkJiSJ8mHaFL2HiukoNRKhMWLi+NDPR2OOA1JPoQQ1XI0rsmPhaiWze5g29F87A5FfDN/2srMpE2CJB9CiGoZdBr7jhXSOsxPmq1Fo1NYZmVPeiF6nUanlhaMepk5oimR5EMIUa0ukYHkFlew9mA2/eOkCVs0Dql5paTll+JrNtAzJkjm52iiJPkQQtQoyNdEmL+ZDYdyaNc8AD+zvGUI9yuz2tmVVoACmgV40TNG5udo6uSdRAhxWvHN/NmZWoD0vAh3Uso5N0dJhR2zQUfXyEBZ4v48IsmHEOKM/L0MZBSUExsqbxmiYaXnl3E0rwTQaBfhj6+0tp2X5KcqhDijqGAfkrNLWLE3kwBvI92iAj0dkjiPlNvs7EgtQCloFmCWbpULgCQfQohaiQ7xIfFIHgOk+FTUk8zCcpJzijHp9XSNlMnALiSSfAghau3yThFsOZJHj+ggT4cimrAjuSUcKygj1E9aOS5UknwIIWotu7iCIB+Tp8MQTdjGwzk0t3hL0nGBk1lZhBC1Fu5v5khuCQ6HzH4q6mZ/RhHrknKICvahRaC3p8MRHibJhxCi1jRNo3dsMBuTcz0dimhCth3JJ9DHyEWtggn39/J0OKIRkORDCFEnXkY9oX5m0vPLPB2KaAJS80oxGjRZpFBUIjUfQog6U0phl4XnxGkcyCwir6SCYF8z7SICPB2OaGQk+RBC1FnrMD92pOaTWVhOTLAPQb5ShCqgqNzGnvRCAFqH+tImzM/DEYnGSpIPIcRZ6djCQoXNwbajefT0lZELF7K8kgr2ZxThYzLQIzpQFnsTZyTJhxDirJkMOqKDfdl4OAeTXk/75v4YZGnzC0ZphZ1tR/MJ8jHSK1YSUFF7knwIIc5JmL+ZMH8zZVY721MLcChFc4sXzS0ynPJ8pZQiMSUPvU6jd6wsay/qrk4fUSZNmkTv3r3x9/cnPDycq6++mj179lTaJz09ndtvv52IiAh8fX3p0aMHP/74Y70GLYRofLyMerpFBdIjOoijuaUUlds8HZJoAOn5ZaxNyqF98wC6REoXizg7dUo+li9fziOPPMKaNWtYuHAhVquV4cOHU1xc7NrnjjvuYM+ePcyePZtt27Zx7bXXMnbsWDZv3lzvwQshGqdescGsT8qhzGr3dCiinjgcivWHcii12unbOgQvo97TIYkmTFPq7MfLZWZmEh4ezvLlyxk4cCAAfn5+fPzxx9x+++2u/UJCQnjjjTe49957z3jOgoICLBYL+fn5BATI8CwhmiqHQ/HngSwuiQ/zdCjiHOUWV7ArrYDerYIxSk2PqEFd7t/n9FuUn58PQHDwX4VG/fv357vvviMnJweHw8G3335LWVkZgwcPrvYc5eXlFBQUVPoSQjR9Op1GZJAPWUXlng5FnIP9GUUczSulf1yoJB6i3pz1b5LD4eCJJ55gwIABdOrUyfX4zJkzsVqthISEYDabeeCBB5g1axZxcXHVnmfSpElYLBbXV1RU1NmGJIRoZFqF+pKcU8Km5FwOZRWf+QDRaCilWJeUg69ZT6eWFk+HI84zZ518PPLII2zfvp1vv/220uMvvvgieXl5LFq0iA0bNjBu3DjGjh3Ltm3bqj3P+PHjyc/Pd32lpKScbUhCiEaoR3QQPaKDyC6u8HQoopbsDsWKfVl0ibTIqCXRIM6q5uPRRx/ll19+YcWKFbRq1cr1+IEDB4iLi2P79u107NjR9fjQoUOJi4vjk08+OeO5peZDiPPTxsO5RFi8aCkrmjZqdodi5f4sBrQJkTlbRJ00WM2HUopHH32UWbNmsWTJkkqJB0BJSYnzpLrKp9Xr9TgcjrpcSghxnukZE8ThrGLsDlkTprGSxEO4S50mGXvkkUeYMWMGv/zyC/7+/qSnpwNgsVjw9vamXbt2xMXF8cADDzBlyhRCQkL4+eefWbhwIXPmzGmQJyCEaDr8vYwUlFplLZhGalNyriQewi3q9Bv28ccfk5+fz+DBg2nevLnr67vvvgPAaDTy+++/ExYWxujRo+nSpQtffvkl06dP5/LLL2+QJyCEaDo6R1rYl1Hk6TBENewOhV6nSeIh3KJOLR+1KQ+Jj4+XGU2FEDXSNEjJKSEq2MfToYjjHMe7W/q2lvVZhHtIiiuEcKvescHkl1pZtieDgjKrp8O54OUUV7AmKZu+rYMxG2TWUuEesrCcEMLtTswbsXRPBq1DfYkJ8fVwRBemcpudvccK6d8m1NOhiAuMtHwIITxmSEI4SkGSTEDmERsP5dKnlXS1CPeT5EMI4VGxob4Ul9s4mlfKoaziWtWWiXO3/Wg+HVoEyKq0wiMk+RBCeFynlhbKrHaMBh2/b0tn7cFsth/N93RY561jBWV4GXUE+siQZ+EZUvMhhGgU2oT5AWDxNuJQitziCn7efJQukRZaH98mzp1SiqSsYvq2DvF0KOICJsmHEKJR8TM735YCvIzEhPiyJ71QhubWo8SUPLpFBXo6DHGBk24XIUSjlhDhT2ZRuafDOC8Ul9vQ6zS8jDKkVniWJB9CiEatqNyGl0Evhaj1YPvRfDofH+YshCdJ8iGEaNR0GljtDv7cn+3pUJq0YwVlRFi8ZHSLaBQk+RBCNGo+JgOdW1rwNklXwblIzimRydxEoyHJhxCi0dPpNOQD+9lLyy8lIsDL02EI4SLJhxCi0XM4pN7jXBzJLZXRQqJRkeRDCNHobTmSJ4WSZym/xEqQj9HTYQhRiSQfQohG7XC2c90Xo17ers7Ggawi1wRuQjQW8tcshGjU/MwGNE2T6dbPgYxwEY2NJB9CiEYtxM9M55YWsorKWXswW+o/6iC3uIJAb+lyEY2PJB9CiEZPr9MYnBBOoI+JEqvd0+E0GUnZxbIujmiUJPkQQjQZ8eF+7DtW6OkwmgzpbBGNlSQfQogmQ9PAJt0uQjR5knwIIZoU+TRfO0opKTQVjZYkH0KIJqPc5kCvkxtqbZRa7fjIlPSikZLkQwjRZKTllxHia/Z0GE1CYZkNfy+Dp8MQolqSfAghmoy8kgqiQ2Sa8NooLLPiZ5bkQzROknwIIZqMVqG+bDycy14Z8XJGpRUOvIzS7SIaJ0k+hBBNRqCPiZ4xQZRU2EnKKvZ0OI1amL+ZrKJyT4chRLUk+RBCNDl+ZgNKKZSSYbc1Cfc3k1EgyYdonCT5EEI0OXHhfvh7GdmUnOdaeE5UptNpSGomGitJPoQQTVKYv5mECH9yS6yy3ksNpGVINFaSfAghmiw/s4EQXxOrD2ZTUGb1dDiNjqQeorGS5EMI0aRFBfvQv00Iu9NkBMypTHodFTaHp8MQogpJPoQQTZ6maQT5GMktrvB0KI1KfDM/9mVIUiYaH0k+hBDnhegQHw7nlHg6jEbFbNBTLi0fohGS5EMIcV4wG/T4mQ0cyCzydCiNjhTkisZGkg8hxHkjLtyPglIpPD1Z+4gAdqUXeDoMISqR5EMIcV6xyaf8SrxNesqs0vUiGhdJPoQQ55VWob4clK6XSvy9DDIUWTQqknwIIc4roX5m8qXrpZL4cD/2yWJ8ohGR5EMIIc5zmqYBMuOpaDwk+RBCnHd8zQY2Hs6hpMLm6VAajYSIAPYek+4o0ThI8iGEOO+0beZPj+ggElPyKC6XBAScU9EXSzImGglJPoQQ5yVN07goNph9GfJp/2TS9SIaA0k+hBDnrS1H8okL9/N0GI1GQjN/9kjhqWgEDJ4OQAghGkq7CH82JefibdTjUOBr1lNhc9A61A+9XsPPfGG9BfqaDZRU2D0dhhCSfAghzl++ZgOXxIe5vi+psOFl0DNr81GaBXgRGeRNfqkVu1L4mPS0iwjwYLTuo5RyjYARwhOk20UIccHwMRnQ6TSu6xnJxfGh2JWiY4sAukUGYjbo2XYkn5zzfGXcmGAfkmUBPuFhknwIIS5YbcL8MOh16HQarUJ9iQzy5seNRyg6j0fIhPiZz/sESzR+knwIIcRxQb4mru3Rkp82HWFzcq6nwxHivCU1H0IIcZIQPzO3941h+9ECNhzKobjCjlGvkVFQjs2hGNa+GRYfo6fDPGdS9yE8SZIPIYQ4haZpdI604HAodDrnDbq0ws6R3BJWH8zmUHYxbcL8CPIx0is22MPR1l2rUF+SsoppHSbDkIVnSPIhhBA1OJF4gHNp+vhm/sQ388dmd6DTNPZnFrHqQBZ9W4VQYrXja9I3idaEQB8Th7Kl6FR4jiQfQghRRwa9s1yubTN/YkN8WXcoh8PZxYT7ezGkXbiHoxOi8atTwemkSZPo3bs3/v7+hIeHc/XVV7Nnz54q+61evZpLL70UX19fAgICGDhwIKWlpfUWtBBCNBYmg46+rUO4sXc0ZoOOpbszWLTzmKfDOiOZZl14Up2Sj+XLl/PII4+wZs0aFi5ciNVqZfjw4RQXF7v2Wb16NSNHjmT48OGsW7eO9evX8+ijj6LTycAaIcT5rV+bECIsXhj0Ggcziygqt2G1OwBc/zYWvmYD2UXlng5DXKA0dQ7pb2ZmJuHh4SxfvpyBAwcC0LdvX4YNG8Yrr7xyVucsKCjAYrGQn59PQMCFMdugEOL8opQit8RKck4J+44VYnMoQv3MeBl1ZBdV0CzAi/zSCvy9jBj1OjIKy4gI8OJgVjFRQT5kFJYRE+JLTLAPQb6mBomxzGpnf0YRnVpaGuT84sJTl/v3OdV85OfnAxAc7Kz2zsjIYO3atdx6663079+fAwcO0K5dO1577TUuvvjias9RXl5Oeflf2XdBQcG5hCSEEB6naRrBviaCfU10iwqstG13egHNLd5YvKsO1z0xcsbuUKzcn8WfB7LYnVZImL+ZvBIr0SHeXNM9sl5i3J9RRNtm/vVyLiHq6qxbPhwOB1dddRV5eXmsXLkSgDVr1tCvXz+Cg4OZMmUK3bp148svv+Sjjz5i+/btxMfHVznPxIkTeemll6o8Li0fQghR2cbDuaw5mM0jQ+LO+VyZheWUWe1EBfvUQ2RC1K3l46yTj4ceeoi5c+eycuVKIiOdmfiqVasYMGAA48eP5/XXX3ft26VLF6644gomTZpU5TzVtXxERUVJ8iGEENXYn1HE0bxS4sP9aBHofcb9V+zNJNjXRIXdgVKQW1yBzeEgwuJNXLjfBbeyr2g4Dd7t8uijjzJnzhxWrFjhSjwAmjdvDkCHDh0q7d++fXuSk5OrPZfZbMZsNp9NGEIIccGJC/cjr6SCpXsyiAjw4rL2zarsczCziE3JebQI9MLfy0BcuB9eRj0gM5uKxqFOyYdSir///e/MmjWLZcuW0apVq0rbY2NjadGiRZXht3v37mXUqFHnHq0QQgh6xQbTKzaYjYdzWbL7GK1C/WgZ6I3JoMPhUKw6kM2tfaKrTTIk8RCNQZ2Sj0ceeYQZM2bwyy+/4O/vT3p6OgAWiwVvb280TeOpp55iwoQJdO3alW7dujF9+nR2797NDz/80CBPQAghLlQ9Y4LILa5g29F8Fu86xpB24UQGeZOWXypJhmjU6lTzUdMv89SpU7nrrrtc30+ePJkPP/yQnJwcunbtyr/+9a8aR7ucSobaCiFE3WUUlPHngSx0mkb75gEykkW4nVsKThuKJB9CCCFE01OX+7dMOyqEEEIIt5LkQwghhBBuJcmHEEIIIdxKkg8hhBBCuJUkH0IIIYRwK0k+hBBCCOFWknwIIYQQwq0k+RBCCCGEW0nyIYQQQgi3kuRDCCGEEG4lyYcQQggh3EqSDyGEEEK4lSQfQgghhHArST6EEEII4VYGTwdwKqUU4FyaVwghhBBNw4n79on7+Ok0uuSjsLAQgKioKA9HIoQQQoi6KiwsxGKxnHYfTdUmRXEjh8NBamoq/v7+aJrm9usXFBQQFRVFSkoKAQEBbr9+YyavTc3ktamevC41k9emZvLaVK+xvy5KKQoLC2nRogU63emrOhpdy4dOpyMyMtLTYRAQENAof7iNgbw2NZPXpnryutRMXpuayWtTvcb8upypxeMEKTgVQgghhFtJ8iGEEEIIt5Lk4xRms5kJEyZgNps9HUqjI69NzeS1qZ68LjWT16Zm8tpU73x6XRpdwakQQgghzm/S8iGEEEIIt5LkQwghhBBuJcmHEEIIIdxKkg8hhBBCuNUFm3y89tpr9O/fHx8fHwIDA6vdJzk5mSuuuAIfHx/Cw8N56qmnsNlslfYpLy/n+eefJyYmBrPZTGxsLF988YUbnkHDqa/X5oQ///wTg8FAt27dGi5oN6mP1+ann35i2LBhhIWFERAQQL9+/Zg/f76bnkHDqa/fm2XLltGjRw/MZjNxcXFMmzat4YN3s02bNjFs2DACAwMJCQnh/vvvp6ioqNI+69ev57LLLiMwMJCgoCBGjBjBli1bPBSxe9TmdQGYNm0aXbp0wcvLi/DwcB555BEPROtetX1tALKzs4mMjETTNPLy8twbaC1dsMlHRUUFN9xwAw899FC12+12O1dccQUVFRWsWrWK6dOnM23aNP75z39W2m/s2LEsXryYzz//nD179vDNN9+QkJDgjqfQYOrrtQHIy8vjjjvu4LLLLmvosN2iPl6bFStWMGzYMH7//Xc2btzIkCFDGD16NJs3b3bX02gQ9fHaJCUlccUVVzBkyBASExN54oknuPfee8+L5OyE1NRUhg4dSlxcHGvXrmXevHns2LGDu+66y7VPUVERI0eOJDo6mrVr17Jy5Ur8/f0ZMWIEVqvVc8E3oNq8LgBvv/02zz//PM8++yw7duxg0aJFjBgxwjNBu0ltX5sT7rnnHrp06eLeIOtKXeCmTp2qLBZLlcd///13pdPpVHp6uuuxjz/+WAUEBKjy8nKllFJz585VFotFZWdnuytctzqX1+aEG2+8Ub3wwgtqwoQJqmvXrg0csfvUx2tzsg4dOqiXXnqpIUJ1u3N5bZ5++mnVsWPHSsfdeOONasSIEQ0aszt9+umnKjw8XNntdtdjW7duVYDat2+fUkqp9evXK0AlJyfXuM/5pjavS05OjvL29laLFi3yVJgeUZvX5oSPPvpIDRo0SC1evFgBKjc3183R1s4F2/JxJqtXr6Zz5840a9bM9diIESMoKChgx44dAMyePZtevXrxr3/9i5YtW9K2bVv+8Y9/UFpa6qmw3aI2rw3A1KlTOXjwIBMmTPBEmB5R29fmZA6Hg8LCQoKDg90VpkfU5rVZvXo1Q4cOrXTciBEjWL16tVtjbUjl5eWYTKZKC295e3sDsHLlSgASEhIICQnh888/p6KigtLSUj7//HPat29PbGysJ8JucLV5XRYuXIjD4eDo0aO0b9+eyMhIxo4dS0pKikdidpfavDYAO3fu5OWXX+bLL78848Junta4o/Og9PT0Sm+SgOv79PR0AP6/vbsLaaqP4wD+Pbas2dKUrSaNQsPAF6IrcewiGFmUQQQRNQxheVN4lQSTrnZRN5b4kl0Whk7JRXRTQ8EVJUYvLJi2TBgWkRphLxOjWft18eTB1dPT7Pmf/9mz5/eBc+HO2+//5Xj2284OJxqN4t69exgdHcX169fR2toKv9+PEydOSK9XplSymZiYgMfjQXd3NwyGtHt+oWZSyeZH586dw9zcHA4dOqR5fXpKJZtfLfPx48eMaeqdTiemp6fR3NyMeDyOd+/ewePxAACmpqYAAGvXrsXt27fR3d0No9EIk8mEQCCAW7duZez/Uyq5RKNRJBIJnD17Vj3fzs7Oorq6GvF4XM/yNZVKNp8/f8aRI0fQ3NyMTZs26VluSjKq+fB4PFAU5R+nZ8+eCdtfIpGAoijo6elBZWUl9u7di5aWFnR1daXdiVJmNl+/foXL5YLX68XWrVuFbFNLso+bpXw+H7xeL65evYr169drso9/Q89s/mtSzaq8vBxdXV04f/48cnJyYLVaUVRUhA0bNqifVj99+oRjx47B4XDg/v37GB4eRkVFBWpqatLu3PI7InNJJBJYWFhAe3s7du/ejaqqKvT29mJiYgLBYFDnkS6fyGyamppQWlqK2tpanUeVmoxqoRsbG3/5A5xFxcXFKW3LarXiwYMHSa/NzMyo8wCgsLAQGzduTHqEcGlpKYgIr169QklJyTKq15bMbGKxGB49eoRQKISGhgYAf500iAgGgwEDAwNwOp3LH4RGZB83i/r6+lBfX4/+/v6fLjWkC9nZWK1W9bWly+Tm5qpfM6er5WTlcrngcrkwMzODNWvWQFEUtLS0qPN9Ph8mJycxMjKivrn4fD7k5+fjxo0bOHz4sKZjEUlkLoWFhQCAsrIydV2LxQKz2YyXL19qMwANicxmaGgI4XAYfr8fAEDfn5xiNptx+vRpeL1e7QbyBzKq+bBYLLBYLEK2ZbfbcebMGbx580b9RDo4OIjc3Fz1wHc4HOjv78fc3BxMJhMA4Pnz58jKyoLNZhNShygys1m5ciXC4XDSOhcvXsTQ0BD8fj+KioqE1CGK7OMGAHp7e+F2u9HX14eamhoh+9aC7Gzsdjtu3ryZtN7g4CDsdruQGrT0J1ktXmK6dOkSVq9ejerqagDA/Pw8srKyoCiKuuzi34lEQlzREojMxeFwAADGx8fVc+zs7Czevn2LzZs3C6xaDpHZXLt2LelbsYcPH8LtduPu3bvYsmWLuKJF0fkHr7p58eIFhUIh8nq9ZDKZKBQKUSgUolgsRkREX758oYqKCtq1axc9efKEAoEAWSwWampqUrcRi8XIZrPRwYMHaWxsjO7cuUMlJSVUX1+v17CEEJHNjzLlbhcR2fT09JDBYKDOzk6amppSp/fv3+s1LCFEZBONRiknJ4dOnTpFkUiEOjs7acWKFRQIBPQaliY6Ojro8ePHND4+ThcuXCCj0UhtbW3q/EgkQqtWraLjx4/T06dPaXR0lGpraykvL49ev36tY+Xa+l0uRET79++n8vJyGh4epnA4TPv27aOysjKKx+M6VS1HKtksFQwG0/pul/9t81FXV0cAfpqCwaC6zOTkJO3Zs4eMRiOZzWZqbGykhYWFpO1EIhHauXMnGY1GstlsdPLkSZqfn5c8GrFEZbNUpjQfIrLZsWPH326jrq5O/oAEEnXcBINB2r59O2VnZ1NxcTFdvnxZ7kAkOHr0KBUUFFB2djZt27aNrly58tMyAwMD5HA4KC8vj/Lz88npdNLIyIgO1cqTSi4fPnwgt9tN69ato4KCAjpw4EDSLcmZKpVslkr35kMh+n5hiDHGGGNMgoy624Uxxhhj6Y+bD8YYY4xJxc0HY4wxxqTi5oMxxhhjUnHzwRhjjDGpuPlgjDHGmFTcfDDGGGNMKm4+GGOMMSYVNx+MMcYYk4qbD8YYY4xJxc0HY4wxxqTi5oMxxhhjUn0Dyigp+BovitUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are 767079.811 191769\n",
      "You may suggest [ [55,210,97,178,147,102,170,116,196,105,179,187,32,89,241], [70,114,54,94,121,188,150,237,185,21,247] ] \n",
      "let's decide whether to delete, accept, or modify list [70, 114, 54, 121, 188, 194, 21, 185, 150, 237, 51, 221, 52, 247, 230, 191, 117] with pop 191347.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) [70,114,54,194,121,188,150,237,185,21,247]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, I will replace [70, 114, 54, 121, 188, 194, 21, 185, 150, 237, 51, 221, 52, 247, 230, 191, 117] with [70, 114, 54, 194, 121, 188, 150, 237, 185, 21, 247]\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if you want to manually add another corner-county cluster 1\n",
      "Type in a [county list], where the corner county is first in the list.  Or type 0 to stop [55,210,97,178,147,102,170,116,196,105,179,187,32,89,241]\n",
      "enter 1 if you want to manually add another corner-county cluster 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Our final pops and fused-county lists are...\n",
      "174608.0 [70, 114, 54, 194, 121, 188, 150, 237, 185, 21, 247]\n",
      "232129.0 [55, 210, 97, 178, 147, 102, 170, 116, 196, 105, 179, 187, 32, 89, 241]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aDP = float(statePop)/nDistricts\n",
    "maxCCBratio = 1./4.  #adjustable max fraction of district pop for corner county blocks.  Let's try 3/16\n",
    "maxCCBpop = maxCCBratio * aDP\n",
    "print(\"continuing from above, develop corner county blocks from each low-pop corner county until it hits\",r3(maxCCBratio),\"of\",int(aDP) )\n",
    "CCBlist, CCBpop, passThruList = list(), list(), list()  #\"waiveThru\" counties get chance to join a cluster even if high pop\n",
    "nFuses = 0\n",
    "for c in has1neighborCs:\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and only 1 neighbor is less pop than\",int(maxCCBpop),\"vs districtPop\",int(aDP) )\n",
    "    if countyPop[c] > maxCCBpop:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        nc = neighborCountyList[c][0]\n",
    "        plotPoly(countyGeom[nc],0.5)\n",
    "        plotPoly(MAP,0.2)\n",
    "        print(\"county\",c,\"has pop\",countyPop[c],\"and its only neighbor has pop\",countyPop[nc],\"vs districtPop\",aDP,\". Default = keep un-fused\")\n",
    "        print(\"enter 0 to keep\",c,\"as an unfused collection of units, 1 to fuse as one unit and stop, 2 to force-add at least the next closest county\")\n",
    "        fuseChoice = input(\"0, 1, or 2.  Any other input taken as a zero\")\n",
    "        if fuseChoice == 0:\n",
    "            keepUnfused = True\n",
    "            break\n",
    "        elif int(fuseChoice) == 1:\n",
    "            CCBlist.append([c])\n",
    "            CCBpop.append(countyPop[c])  \n",
    "            hasFewNeighborCs.append(c)  #this adds this [c] to the final list of fused units, but will fail to find more in below\n",
    "        elif int(fuseChoice) == 2:\n",
    "            CCBlist.append([c,nc ] )\n",
    "            CCBpop.append(countyPop[c] + countyPop[nc])\n",
    "            hasFewNeighborCs.append(c)\n",
    "            passThruList.append(c)   #pass on thru to the below 2neighbor logic even if too high-pop to qualify\n",
    "    else:\n",
    "        hasFewNeighborCs.append(c)  #normal case; we'll handle in next, more general, for loop            \n",
    "        \n",
    "for c in hasFewNeighborCs:\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and 1 or 2 neighbors is less pop than\",int(maxCCBpop) )\n",
    "    if countyPop[c] < maxCCBpop :\n",
    "        CCBlist.append([c])\n",
    "        CCBpop.append(countyPop[c])\n",
    "        CCBno = CCBlist.index([c])\n",
    "    if c in passThruList:\n",
    "        CCBno = CCBlist.index([c,neighborCountyList[c][0] ])\n",
    "    if countyPop[c] < maxCCBpop or c in passThruList:            \n",
    "        CCBstarter = c\n",
    "        canAdd = True\n",
    "        while canAdd:\n",
    "            nbrSet = set()\n",
    "            for cc in CCBlist[CCBno]:\n",
    "                nbrSet = ( nbrSet.union(set(neighborCountyList[cc])) ).difference(set(CCBlist[CCBno]))\n",
    "            nPop = [countyPop[cc] for cc in nbrSet]\n",
    "            nDist = [countyGeom[cc].centroid.distance(countyGeom[CCBstarter].centroid) for cc in nbrSet]\n",
    "            idx = np.argsort(nDist)\n",
    "            nbrList, newList = list(nbrSet), list()\n",
    "            for i in range(len(nDist)):  #add counties, closest to starter that will fit until over\n",
    "                cc = nbrList[idx[i]]\n",
    "                if CCBpop[CCBno] + countyPop[cc] < maxCCBpop:\n",
    "                    newList.append(cc)\n",
    "                    CCBlist[CCBno].append(cc)\n",
    "                    CCBpop[CCBno] += countyPop[cc]\n",
    "                    #print(\"adding county\",cc,\"with pop\",countyPop[cc],\"to list started by\",CCBstarter,\".Cluster pop now\",CCBpop[CCBno]  )\n",
    "            if newList == list():  #no eligible neighbor counties found; stop\n",
    "                canAdd = False\n",
    "                for cc in CCBlist[CCBno]:\n",
    "                    plotPoly(countyGeom[cc])\n",
    "                    plotCenter(CCBno,countyGeom[cc])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "                    \n",
    "print(\"Below I plot these again by county no, with faded neighboring counties\")\n",
    "plotPoly(MAP,0.15)\n",
    "for L in CCBlist:\n",
    "    print(CCBlist.index(L),\" \",L)\n",
    "    for c in L:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        for cc in list(set(neighborCountyList[c]).difference(L) ):\n",
    "            plotPoly(countyGeom[cc],0.4)\n",
    "            plotCenter(cc,countyGeom[cc],8)\n",
    "plt.show()\n",
    "rejectList = list()\n",
    "print(\"Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are\",r3(aDP), int(maxCCBpop))\n",
    "print(\"You may suggest [ [55,210,97,178,147,102,170,116,196,105,179,187,32,89,241], [70,114,54,194,121,188,150,237,185,21,247] ] \")\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if L[0] not in passThruList:  #if we forced the fused-counties list above, don't give option here to modify\n",
    "        print(\"let's decide whether to delete, accept, or modify list\",L,\"with pop\",CCBpop[i] )\n",
    "        isOK = input(\"enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list)\")\n",
    "        if not (isOK == 1 or isOK == str(1)) :\n",
    "            if isOK == 0 or isOK == str(0) :\n",
    "                rejectList.append(L)\n",
    "            else:\n",
    "                notGood = True\n",
    "                while notGood:       \n",
    "                    Lnew = ast.literal_eval(isOK)        \n",
    "                    if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                        notGood = False\n",
    "                    else:\n",
    "                        print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                        isOK = input(\"Try again here \")\n",
    "                print(\"OK, I will replace\",L,\"with\",Lnew)\n",
    "                CCBpop[i] = np.sum( [countyPop[c] for c in Lnew] )\n",
    "                CCBlist[i] = Lnew.copy()\n",
    "for L in rejectList:\n",
    "    del CCBpop[ CCBlist.index(L)]\n",
    "    del CCBlist[CCBlist.index(L)]\n",
    "stillAdding = True\n",
    "while stillAdding:\n",
    "    addMore = input(\"enter 1 if you want to manually add another corner-county cluster\")\n",
    "    if int(addMore) != 1:\n",
    "        stillAdding = False\n",
    "    else:\n",
    "        isOK = input(\"Type in a [county list], where the corner county is first in the list.  Or type 0 to stop\")\n",
    "        if isOK == 0 or isOK == str(0) :\n",
    "            print(\"OK, we'll stop adding corner clusters\")\n",
    "            stillAdding = False\n",
    "        else:\n",
    "            notGood = True\n",
    "            while notGood:       \n",
    "                Lnew = ast.literal_eval(isOK)        \n",
    "                if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                    notGood = False\n",
    "                    for L in CCBlist:\n",
    "                        if set(L).intersection(set(Lnew)) != set(list()) :\n",
    "                            notGood = True\n",
    "                            print(\"OOPS! The following inputted counties are already in\",L,\":\",set(L).intersection(set(Lnew)) )\n",
    "                            isOK = input(\"Try again here \")\n",
    "                    if notGood == False:\n",
    "                        CCBlist.append(Lnew)\n",
    "                        CCBpop.append( np.sum( [countyPop[c] for c in Lnew] ) )\n",
    "                else:\n",
    "                    print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                    isOK = input(\"Try again here \")\n",
    "print(\"Our final pops and fused-county lists are...\")\n",
    "allFusedCounties = list()\n",
    "CCBgeom = [dummyPoly for L in CCBlist ]\n",
    "CCBcp = list()\n",
    "for i, L in enumerate(CCBlist):\n",
    "    CCBcp.append( getHDcp([countyCP[c] for c in L], [countyPop[c] for c in L], [ j for j in range(len(L)) ] ) )\n",
    "    print(CCBpop[i],L)\n",
    "    pops, CPs = list(), list()\n",
    "    for c in L:\n",
    "        if c == L[0]:\n",
    "            CCBgeom[i] = countyGeom[c]\n",
    "        else:\n",
    "            CCBgeom[i] = CCBgeom[i].union(countyGeom[c])\n",
    "        allFusedCounties.append(c)\n",
    "        pops += countyPop[c]       #  IS THIS EVEN USED?\n",
    "        CPs.append(countyCP[c])   #  IS THIS EVEN USED?\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(i,countyGeom[c])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "206c9372-8ec8-4190-93ed-04df286466e0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now identify the border counties + border fused units, and interior small counties with pop < 15341\n",
      "We defined a total of 96 unit (but not corner-cluster) counties in the map, excluding the cut-out districts\n"
     ]
    }
   ],
   "source": [
    "maxWholeBorderCountyPop = 0.02 * aDP   #to encourage contiguity, border counties > 0.02 aDP will be forced whole\n",
    "maxInteriorBorderCountyPop = 0.02 * aDP\n",
    "print(\"now identify the border counties + border fused units, and interior small counties with pop <\", int(maxInteriorBorderCountyPop))\n",
    "unitCounties, borderCounties = list(), list()\n",
    "origMAP = MAP\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    MAPexterior = MAP.exterior\n",
    "else:\n",
    "    maxArea = 0\n",
    "    for geo in MAP.geoms:\n",
    "        if geo.area > maxArea:\n",
    "            MAPexterior = geo.exterior\n",
    "            maxArea = geo.area\n",
    "            MAP0 = geo\n",
    "    MAP = MAP0\n",
    "for c in uncutCountyList:\n",
    "    if countyGeom[c].intersects(MAPexterior):\n",
    "        borderCounties.append(c)\n",
    "        if c not in allFusedCounties:\n",
    "            if countyPop[c] < maxWholeBorderCountyPop:\n",
    "                unitCounties.append(c)\n",
    "    else:\n",
    "        if countyPop[c] < maxInteriorBorderCountyPop and c not in allFusedCounties:\n",
    "            unitCounties.append(c)\n",
    "print(\"We defined a total of\",len(unitCounties),\"unit (but not corner-cluster) counties in the map, excluding the cut-out districts\")        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "e0ff719c-59dc-4827-a522-11bd352f7524",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For this state, do we have a lot of populated fragmented VTDs?\n",
      "30 fragmented VTDs out of 9007\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FYI, here are the locations of fragmented VTDs with pop > 3000\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"For this state, do we have a lot of populated fragmented VTDs?\")\n",
    "nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "print(len(fragmentedVTDs),\"fragmented VTDs out of\",nVTDs)\n",
    "fragPop = [tractPop[v] for v in fragmentedVTDs]\n",
    "plt.hist(fragPop)\n",
    "plt.show()\n",
    "print(\"FYI, here are the locations of fragmented VTDs with pop > 3000\")\n",
    "for v in fragmentedVTDs:\n",
    "    if tractPop[v] > 3000:\n",
    "        plotPoly(vtdGeom[v])\n",
    "plotPoly(MAP,0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "71d771f8-dbe2-48f9-a702-9f66a62d1174",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\n",
      "I split up 30 fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\n",
      "looking for surrounds, now working on vtd 0\n",
      "looking for surrounds, now working on vtd 500\n",
      "looking for surrounds, now working on vtd 1000\n",
      "looking for surrounds, now working on vtd 1501\n",
      "looking for surrounds, now working on vtd 2180\n",
      "looking for surrounds, now working on vtd 2692\n",
      "looking for surrounds, now working on vtd 3192\n",
      "looking for surrounds, now working on vtd 3692\n",
      "looking for surrounds, now working on vtd 4192\n",
      "looking for surrounds, now working on vtd 4692\n",
      "looking for surrounds, now working on vtd 5192\n",
      "looking for surrounds, now working on vtd 5692\n",
      "looking for surrounds, now working on vtd 6192\n",
      "looking for surrounds, now working on vtd 6692\n",
      "looking for surrounds, now working on vtd 7192\n",
      "looking for surrounds, now working on vtd 7692\n",
      "looking for surrounds, now working on vtd 8193\n",
      "looking for surrounds, now working on vtd 8693\n",
      "After surround checks, we appear to have 8020 building blocks defined. We captured 24 surrounded VTDs\n",
      "working on unit neighbor lists for county 0\n",
      "WARNING - unit 304  = vtd 286 in county 6 has only 1 neighbor= [337] . Optional triage in next block\n",
      "working on unit neighbor lists for county 20\n",
      "working on unit neighbor lists for county 40\n",
      "working on unit neighbor lists for county 60\n",
      "WARNING - unit 615  = vtd 862 in county 61 has only 1 neighbor= [616] . Optional triage in next block\n",
      "working on unit neighbor lists for county 80\n",
      "working on unit neighbor lists for county 100\n",
      "WARNING - unit 681  = vtd 994 in county 113 has only 1 neighbor= [659] . Optional triage in next block\n",
      "working on unit neighbor lists for county 120\n",
      "working on unit neighbor lists for county 140\n",
      "working on unit neighbor lists for county 160\n",
      "working on unit neighbor lists for county 180\n",
      "working on unit neighbor lists for county 200\n",
      "WARNING - unit 7792  = vtd 8660 in county 213 has only 1 neighbor= [7791] . Optional triage in next block\n",
      "working on unit neighbor lists for county 220\n",
      "working on unit neighbor lists for county 240\n",
      "All done creating unit lists\n"
     ]
    }
   ],
   "source": [
    "#3/2/24 - split up all multipoly VTDs into fragments, divvy pop by area\n",
    "unitPop, unitCP, unitGeom, nbrUnitGeom, allUnits = list(), list(), list(), list(), list()\n",
    "vtdUnits, countyUnits, borderUnits = list(),list(),list()\n",
    "countyUnitList = [list() for c in range(nCounties) ]\n",
    "surroundedVTDs, surrounders = list(), list()  #vtds that are surrounded by another vtd - problem for later enclaves, xfer their pops to surrounders\n",
    "#These surrounded VTDs don't get transferred to the unit list\n",
    "print(\"Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\")\n",
    "for c in unitCounties:\n",
    "    unitCP.append(countyCP[c])\n",
    "    unitPop.append(countyPop[c])\n",
    "    unitGeom.append(   countyGeom[c] )\n",
    "    nbrUnitGeom.append(countyGeom[c] )\n",
    "    countyUnits.append(c)\n",
    "    allUnits.append(c+0.5)  #use non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nVTDneighbors = [0 for v in range(nVTDs)] #this loop -- just checking for surrounded VTDs\n",
    "lastVTDneighbor = [-999 for v in range(nVTDs)]\n",
    "\n",
    "nFragmentedVTDs,fragmentedVTDs, coastalFragmentedVTDs = 0, list(), list()  #a prev version treated coastal separately\n",
    "fragVTDgeom, parentVTDno, fragVTDpop = vtdGeom.to_list(), [v for v in range(nVTDs)], tractPop.to_list()  #these lists will expand to include vtd fragments \n",
    "origVTDgeom = vtdGeom.copy() #we create a parallel fragVTDgeom list which grabs the 1st fragment, then append fragments to the total list\n",
    "origVTDpop = tractPop.copy()\n",
    "VTDchildren = [[v] for v in range(nVTDs)]  #the list of all fragment numbers associated with the original VTD, including ones that get surrounded\n",
    "countyFragVTDset = [set(countyTractList[c]) for c in range(nCounties)]\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "            geos, areas = [geo for geo in vtdGeom[v].geoms ], [geo.area for geo in vtdGeom[v].geoms]\n",
    "            for i, geo in enumerate(geos):\n",
    "                if i == 0:\n",
    "                    fragVTDgeom[v] = geo\n",
    "                    fragVTDpop[v] = tractPop[v] * areas[i] / np.sum(areas)  #overwrite, then distribute balance below\n",
    "                else:\n",
    "                    fNo = len(fragVTDgeom)\n",
    "                    fragVTDgeom.append(geo)\n",
    "                    fragVTDpop.append( tractPop[v] * areas[i] / np.sum(areas) )\n",
    "                    parentVTDno.append(v)\n",
    "                    countyFragVTDset[c].add(fNo )\n",
    "                    VTDchildren[v].append(fNo)\n",
    "                    nVTDneighbors.append(0)\n",
    "                    lastVTDneighbor.append(-999)\n",
    "                    \n",
    "print(\"I split up\",nFragmentedVTDs,\"fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\")\n",
    "\n",
    "debugV = -7616\n",
    "for kk,V in enumerate(populatedTractList):\n",
    "    if kk%500 == 0:\n",
    "        print(\"looking for surrounds, now working on vtd\",V)\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties:\n",
    "        for v in VTDchildren[V]:\n",
    "            for vv in countyFragVTDset[c].difference({v}) :\n",
    "                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                    nVTDneighbors[v] +=1\n",
    "                    lastVTDneighbor[v] = vv\n",
    "                    if v == debugV:\n",
    "                        print(\"I just added neighbor\",vv,\"to magicV\",v)\n",
    "                #if nVTDneighbors[v] >= 4:  #Enough to have >=2 even after surrounds.  Will do full neighbor list later\n",
    "                #    break\n",
    "            #if STATE == \"TN\":  #Tennessee has a lot of discontiguous county fragments.  Force the nearest intracounty to be a neighbor\n",
    "            #    if nVTDneighbors[v] == 0:\n",
    "            #        listMinusSelf = list( countyFragVTDset[c].difference({v}) )\n",
    "            #        fragDist = [fragVTDgeom[vvv].distance(fragVTDgeom[v]) for vvv in listMinusSelf ]\n",
    "            #        minIndex = fragDist.index(np.min(fragDist))\n",
    "            #        vv = listMinusSelf[minIndex]\n",
    "            #        nVTDneighbors[v] +=1\n",
    "            #        lastVTDneighbor[v] = vv\n",
    "            #        print(\"I am forcing an intracounty neighbor for VTDfrag\",v,\"of vtd\",V,\"in county\",c,\"to be VTDfrag\",vv)\n",
    "            #        forcedPairList.append([v,vv])\n",
    "            if nVTDneighbors[v] < 4:  #OK if a vtd has only 1 intracounty neighbor IF it touches another county, it's not surrounded\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if fragVTDgeom[v].intersects(countyGeom[cc]):\n",
    "                        if cc not in unitCounties + allFusedCounties:\n",
    "                            for vv in countyFragVTDset[cc] :\n",
    "                                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                                    nVTDneighbors[v] +=1\n",
    "                                    lastVTDneighbor[v] = vv\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                print(\"WARNING. vtd frag\",v,\"in county\",c,\"intersected county\",cc,\"but had no intracounty neighbors\")\n",
    "                                plotPoly(fragVTDgeom[v],2)\n",
    "                                plotCenter(\"iso\",fragVTDgeom[v])\n",
    "                                plotPoly(countyGeom[c])\n",
    "                                plotPoly(countyGeom[cc],0.2)\n",
    "                                plotCenter(cc, countyGeom[cc])\n",
    "                                plt.show()\n",
    "                        else:\n",
    "                            nVTDneighbors[v] +=1\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                if STATE == \"TN\":  #for TN, we tolerate some discontiguous counties\n",
    "                                    print(\"vtd fragment\",v,\"with no neighbors in its county\",countyNo[parentVTDno[v]],\n",
    "                                          \"borders a unit or fused county\",cc)\n",
    "                                else:\n",
    "                                    raise Exception(\"ERROR! Neighborless vtd fragment\",v,\"neighbors a unit or fused county\",cc)                                \n",
    "            if v == debugV:\n",
    "                print(v,\"has\",nVTDneighbors[v],\"neighbors.  its last is\",lastVTDneighbor[v])\n",
    "                \n",
    "for loop in range(3): #to catch surrounds of surrounds\n",
    "    for V in populatedTractList:\n",
    "        c = countyNo[V]\n",
    "        if c not in allFusedCounties and c not in unitCounties: \n",
    "            for v in VTDchildren[V]:\n",
    "                if nVTDneighbors[v] == 1:\n",
    "                    vv = lastVTDneighbor[v]\n",
    "                    if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                        for sNo, s in enumerate(surroundedVTDs):\n",
    "                            if surrounders[sNo] == v:\n",
    "                                surrounders[sNo] = vv\n",
    "                    surroundedVTDs.append(v)\n",
    "                    surrounders.append(vv)\n",
    "                    nVTDneighbors[vv] -=1\n",
    "                    nVTDneighbors[v] -=1 #in case this surrounder becomes a later surroundee\n",
    "                    fragVTDpop[vv] += fragVTDpop[v]\n",
    "                    fragVTDpop[v] = 0\n",
    "                    if lastVTDneighbor[vv] == v:  #find another neighbor in case this surrounder is also a surroundee in loop 2\n",
    "                        for vvv in countyFragVTDset[c]:\n",
    "                            if vvv not in [v,vv]:\n",
    "                                if fragVTDgeom[vvv].intersects(fragVTDgeom[vv]):\n",
    "                                    lastVTDneighbor[vv] = vvv\n",
    "                    if lastVTDneighbor[vv] == v:\n",
    "                        print(\"WARNING.  We did not find another neighbor of surrounder\",vv,\"other than surroundee\",v)\n",
    "                    if loop > 0:\n",
    "                        print(\"On loop\",loop+1,\"for county\",c,\" we found that vtd frag\",v,\"now has only 1 neighbor\",vv)\n",
    "if STATE == \"PA\":  #state-specific manual surround enforcement\n",
    "    specialSurrounded = [7240, 7701]\n",
    "    specialSurrounder = 6447\n",
    "    print(\"special for\",STATE,\", I believe that\", specialSurrounded,\"are surrounded by vtd (fragment)\",specialSurrounder,\". Here, let me show you\")\n",
    "    c = countyNo[parentVTDno[specialSurrounder]]\n",
    "    plotPoly(countyGeom[c], 0.5)\n",
    "    for v in specialSurrounded:\n",
    "        plotPoly(fragVTDgeom[v])\n",
    "        plotCenter(v,fragVTDgeom[v])\n",
    "    plotPoly(fragVTDgeom[specialSurrounder],0.2)\n",
    "    plotCenter(specialSurrounder, fragVTDgeom[specialSurrounder], 8)\n",
    "    plt.show()\n",
    "    shouldIcombine = int(input(\"enter 1 to apply the surrounding operation\"))\n",
    "    if shouldIcombine == 1:\n",
    "        for v in specialSurrounded:\n",
    "            vv = specialSurrounder\n",
    "            if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                for sNo, s in enumerate(surroundedVTDs):\n",
    "                    if surrounders[sNo] == v:\n",
    "                        surrounders[sNo] = vv\n",
    "            surroundedVTDs.append(v)\n",
    "            surrounders.append(vv)\n",
    "            nVTDneighbors[vv] -=1\n",
    "            nVTDneighbors[v] = 0 #we are capturing all surroundees (some of whom may touch other surroundees)\n",
    "            fragVTDpop[vv] += fragVTDpop[v]\n",
    "            fragVTDpop[v] = 0\n",
    "\n",
    "\n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] >1:\n",
    "                unitCP.append(fragVTDgeom[v].centroid)\n",
    "                unitGeom.append(fragVTDgeom[v])\n",
    "                unitPop.append(fragVTDpop[v])   #for now, ratio pop by area, not block decomposition\n",
    "                vtdUnits.append(v)   #if a border unit, we'll catch in below big loop, after checking for surround\n",
    "                allUnits.append(v)\n",
    "#for V in populatedTractList:\n",
    "#    c = countyNo[V]\n",
    "#    if c not in allFusedCounties and c not in unitCounties:  \n",
    "#        for v in VTDchildren[V]: \n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] == 1:  #a surrounded VTD, transfer its pop to surrounder unit.  Don't bother with shifting centerpoints\n",
    "                print(\"somehow we missed 1-neighbor vtd frag\",v,\" with last vtd frag nbr\",lastVTDneighbor[v])\n",
    "            if nVTDneighbors[v] == 0 and v not in surroundedVTDs:\n",
    "                print(\"WARNING. unsurrounded vtd\",v,\"had no found neighbors\")\n",
    "\n",
    "for i, L in enumerate(CCBlist):\n",
    "    unitCP.append( CCBcp[i] )\n",
    "    unitPop.append(CCBpop[i])\n",
    "    unitGeom.append(   CCBgeom[i])\n",
    "    nbrUnitGeom.append(CCBgeom[i])\n",
    "    allUnits.append(i+0.25)  #use alt non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nUnits = len(allUnits)\n",
    "print(\"After surround checks, we appear to have\",nUnits,\"building blocks defined. We captured\",len(surroundedVTDs),\"surrounded VTDs\")\n",
    "\n",
    "unitNbrs = [list() for u in range(nUnits)]\n",
    "countyUnitList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    for v in countyFragVTDset[c]:\n",
    "        if v in allUnits:\n",
    "            countyUnitList[c].append(allUnits.index(v))\n",
    "\n",
    "sketchyList = list()\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"working on unit neighbor lists for county\",c)\n",
    "    if c not in allFusedCounties:  #see a separate loop below for cluster-cluster neighbors\n",
    "        if c in unitCounties:    \n",
    "            u = allUnits.index(c+0.5)\n",
    "            for cc in neighborCountyList[c]:\n",
    "                if cc not in allFusedCounties:\n",
    "                    if cc in unitCounties:\n",
    "                        unitNbrs[u].append(allUnits.index(cc+0.5))  #we'll catch the complement in the cc county's loop\n",
    "                    else:\n",
    "                        for uu in countyUnitList[cc] :\n",
    "                            if countyGeom[c].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu)\n",
    "                                unitNbrs[uu].append(u)\n",
    "            for i,geo in enumerate(CCBgeom):\n",
    "                if geo.intersects(countyGeom[c]):\n",
    "                    unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                    unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "        else:  #non-unit county      \n",
    "            for u in countyUnitList[c] :\n",
    "                for uu in list( set(countyUnitList[c]).difference({u}) ) :\n",
    "                    if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                        unitNbrs[u].append(uu )  #will catch complement later in this county's loop\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if cc not in allFusedCounties and cc not in unitCounties: #see an above block for handling unitCounties\n",
    "                        for uu in countyUnitList[cc]:\n",
    "                            if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu )\n",
    "\n",
    "            for u in countyUnitList[c] :\n",
    "                for i,geo in enumerate(CCBgeom):\n",
    "                    if geo.intersects(unitGeom[u]):\n",
    "                        unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                        unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "                if len(unitNbrs[u]) == 0:\n",
    "                    print(\"ERROR - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has no neighbors\")\n",
    "                if len(unitNbrs[u]) == 1:  #after fragmentation, this unit appears surrounded.  Next block to confirm it has non-intracounty neighbors                       \n",
    "                    print(\"WARNING - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has only 1 neighbor=\",unitNbrs[u],\". Optional triage in next block\")\n",
    "                    sketchyList.append([u,unitNbrs[u][0] ] )\n",
    "\n",
    "CCBunits = CCBlist.copy()                        \n",
    "for i, geo in enumerate(CCBgeom):  #this loop: only cluster-cluster intersections.  Cluster-vtd and cluster-county neighbors already found above.\n",
    "    for ii in range(i+1,len(CCBgeom) ) :\n",
    "        if geo.intersects(CCBgeom[ii]):\n",
    "            unitNbrs[allUnits.index(i+0.25) ].append(allUnits.index(ii+0.25) ) #all CCB-county, CCB-vtd intersxns already covered\n",
    "            unitNbrs[allUnits.index(ii+0.25)].append(allUnits.index(i+0.25) )\n",
    "print(\"All done creating unit lists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "94741893-6835-45ac-9793-64cbaf4823b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sketchy unit 304 has neighbor list [337, 45, 54]\n",
      "sketchy unit 615 has neighbor list [616, 45]\n",
      "sketchy unit 681 has neighbor list [659, 64, 83]\n",
      "sketchy unit 7792 has neighbor list [7791, 94]\n"
     ]
    }
   ],
   "source": [
    "for L in sketchyList:  #hope that some of these flagged units picked up unit-county or CCB neighbors\n",
    "    print(\"sketchy unit\",L[0], \"has neighbor list\",unitNbrs[L[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "cb4277b4-d6ef-4c8c-aa23-6fde227379ff",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if allUnits[u] - int(allUnits[u]) == 0.25:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "8378940d-4387-4188-8ae1-a62010500ecb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now build the border topology\n",
      "counties and clusters done, now working on (frag) vtd-based units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now build the border topology\")\n",
    "borderUnits, borderType = list(), list()\n",
    "for c in borderCounties:\n",
    "    if c in unitCounties:\n",
    "        borderUnits.append(allUnits.index(c+0.5))\n",
    "        borderType.append(\"county\")\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if CCBgeom[i].intersects(MAPexterior):  #should always be the case\n",
    "        borderUnits.append(allUnits.index(i+0.25))\n",
    "        borderType.append(\"cluster\")\n",
    "print(\"counties and clusters done, now working on (frag) vtd-based units\")\n",
    "for c in borderCounties:\n",
    "    if c not in unitCounties + allFusedCounties:\n",
    "        for u in countyUnitList[c]:\n",
    "            if unitGeom[u].intersects(MAPexterior):\n",
    "                borderUnits.append(u)\n",
    "                borderType.append(\"vtd\")                \n",
    "    \n",
    "for i,b in enumerate(borderUnits):\n",
    "    plotPoly(unitGeom[b])\n",
    "    if borderType[i] == \"cluster\":\n",
    "        j = int(allUnits[b])\n",
    "        for c in CCBlist[j]:\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "            plotCenter(\"fused\",countyGeom[c], 6)\n",
    "for c in unitCounties:\n",
    "    plotPoly(countyGeom[c],0.4)\n",
    "    plotCenter(\"unit\",countyGeom[c],8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "937d923d-9e95-45e9-9aef-77cb4377781d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that the list of borderUnits is contiguous all around\n",
      "number of border units = 182\n"
     ]
    }
   ],
   "source": [
    "print(\"checking that the list of borderUnits is contiguous all around\")\n",
    "print(\"number of border units =\",len(borderUnits))\n",
    "for u in borderUnits:\n",
    "    isUnbroken, smallPieceList = isContiguous(list(set(borderUnits).difference({u})),unitNbrs)\n",
    "    if not isUnbroken:\n",
    "        print(\"border is discontig if we skip\",u)\n",
    "        for uu in smallPieceList:\n",
    "            plotPoly(unitGeom[uu],0.5)\n",
    "            plotCenter(\"n\"+str(uu),unitGeom[uu])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        plotPoly(unitGeom[u])\n",
    "        plt.show()\n",
    "        print(\"above is with unit numbers; below is VTDfrag nos\")\n",
    "        for uu in smallPieceList:\n",
    "            vv = allUnits[uu]\n",
    "            plotPoly(unitGeom[uu],0.5)\n",
    "            plotCenter(\"v\"+str(vv),unitGeom[uu],8)\n",
    "        v = allUnits[u]\n",
    "        plotCenter(v,unitGeom[u],8)\n",
    "        plotPoly(unitGeom[u])\n",
    "        plt.show()\n",
    "borderSet = set(borderUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "93603f77-77fa-4453-b54b-5ea07fcb6721",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here, we identify 'border' units that aren't needed to define the map border\n",
      "Bueno! no 'border units' that could be eliminated from the border set\n"
     ]
    }
   ],
   "source": [
    "print(\"here, we identify 'border' units that aren't needed to define the map border\")\n",
    "canBeRemoved, powerNeighbors = set(), set()\n",
    "for u in borderUnits:\n",
    "    uNeighbors = list(borderSet.intersection(set(unitNbrs[u])) )\n",
    "    if len(uNeighbors) < 2:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        uu = uNeighbors[0]\n",
    "        otherBorderNeighbors = set(unitNbrs[uu]).intersection(borderSet).difference({u})\n",
    "        if len(otherBorderNeighbors) > 1:  #this neighbor of our 1-border-neighbor border unit makes a border chain without the problem border unit\n",
    "            canBeRemoved.add(u)\n",
    "            powerNeighbors.add(uu)\n",
    "        plotCenter(uu,unitGeom[uu],6)\n",
    "        plotPoly(unitGeom[uu],0.5)\n",
    "        for uuu in set(unitNbrs[uu]).intersection(borderSet).difference({u}):\n",
    "            plotPoly(unitGeom[uuu])\n",
    "            plotCenter(str(uuu)+\"=N of\"+str(uu),unitGeom[uuu])\n",
    "        for uuu in set(unitNbrs[u]).difference(borderSet):\n",
    "                plotCenter(uuu+0.1,unitGeom[uuu],6)\n",
    "                plotPoly(unitGeom[uuu],0.1)\n",
    "        c = countyNo[allUnits[u]]\n",
    "        #plotPoly(countyGeom[c] )\n",
    "        #plotCenter(c, countyGeom[c])\n",
    "        plt.show()\n",
    "if len(canBeRemoved) == 0:\n",
    "    print(\"Bueno! no 'border units' that could be eliminated from the border set\")\n",
    "else:\n",
    "    print(canBeRemoved,\"is the list of 1-neighbor 'border' units that can be eliminated from the border set\")\n",
    "    print(\"... as they are enveloped on the border; the enveloping border unit has two other map-border neighbors\")\n",
    "    yesRemove = input(\"enter 1 to remove these from the list of border units\")\n",
    "    if int(yesRemove) == 1:\n",
    "        canRemove = True\n",
    "        for uu in powerNeighbors:\n",
    "            testSet = (borderSet.difference(canBeRemoved)).difference({uu})\n",
    "            if not isContiguous(list(testSet),unitNbrs):\n",
    "                canRemove = False\n",
    "                print(\"We can't complete the border if unit\",uu,\"is not included in the ring\")\n",
    "        if canRemove:\n",
    "            borderSet = borderSet.difference(canBeRemoved)\n",
    "            borderList = list(borderSet)\n",
    "            borderUnits = list(borderSet)\n",
    "            print(\"Success! we removed\",canBeRemoved,\"from the list of borderUnits\")\n",
    "    else:\n",
    "        print(\"Fine, be that way.  Sheesh, I will keep them.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "b13c68e3-33ed-48b3-acca-78012ce0bf61",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here is the final border set\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "print(\"here is the final border set\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "173bb175-312b-4d08-a5b5-80a1d5d70416",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "print(isContiguous(borderUnits,unitNbrs)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "fc1ae6e1-ef52-412b-a966-e9739071af8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For safekeeping, write the unit topology to a file\n"
     ]
    }
   ],
   "source": [
    "date_ = \"12May24\"\n",
    "print(\"For safekeeping, write the unit topology to a file\")  \n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        #for i,uu in enumerate(surrounders):  #no longer tracked\n",
    "         #   if u == uu:\n",
    "         #       unitVTDlist[u].append(surroundedVTDs[i])\n",
    "                \n",
    "unitNo = [u for u in range(nUnits)]\n",
    "unitCPx, unitCPy = [unitCP[u].x for u in range(nUnits)], [unitCP[u].y for u in range(nUnits)]\n",
    "onBorder = [0 for u in range(nUnits)]\n",
    "for u in borderUnits:\n",
    "    onBorder[u] = 1\n",
    "nbrDF = pd.DataFrame( {\"unitNo\":unitNo,\"centroid x\":unitCPx,\"centroid y\":unitCPy,\"unitPop\":unitPop,\"onBorder\":onBorder,\n",
    "                       \"neighborList\":unitNbrs, \"unitVTDlist\":unitVTDlist, \"unitParentVTDno\": unitParentVTDno, \"allUnits\":allUnits} )\n",
    "outname = STATE+\"unitTopologies_\"+date_+\".csv\" \n",
    "outpath = \"state_map_files/\"+outname\n",
    "nbrDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "d4baaea4-7af4-4407-aeb3-f4291d335f89",
   "metadata": {},
   "outputs": [],
   "source": [
    "vtdGeom = tractGeom.copy()  #optional reset if we need to rerun the below clipPoly routine with alternate clipPolys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "abdd07e7-f9be-480a-9d3d-b3948eeaaa2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "toSquishCountiesList = list()   #default; if we did not have any clipPoly's to move in\n",
    "nClips = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "4d5fdc3c-6126-4fa8-b484-1d0052c70aed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for some states like FL, MD, MN, NC we move in partial counties via clipPoly's before running option 2\n",
      "adding code here to 'push in' state panhandles ...\n",
      "performing squish no 1 for state TX\n",
      "clipPoly 0 intersects [5, 32, 43, 55, 58, 64, 89, 97, 102, 105, 116, 147, 170, 178, 179, 187, 190, 196, 210, 241] counties and a total of 170 units\n",
      "Here is the original cutLine and an alternate based on cut shapes\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These are your orig (faint) and squished shapes for clip no 1 out of 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 when ready 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "performing squish no 2 for state TX\n",
      "clipPoly 1 intersects [30, 130, 244] counties and a total of 75 units\n",
      "Here is the original cutLine and an alternate based on cut shapes\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These are your orig (faint) and squished shapes for clip no 2 out of 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 when ready 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "performing squish no 3 for state TX\n",
      "clipPoly 2 intersects [21, 54, 70, 114, 121, 150, 185, 188, 194, 237, 247] counties and a total of 68 units\n",
      "Here is the original cutLine and an alternate based on cut shapes\n"
     ]
    },
    {
     "data": {
      "image/png": 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kk0+SlZXF5s2bGTRoEPfeey8AGzZs8K2I4GASEhJ8+oyIdBI2m/l8JIDjuZx/9F8M9VaAd7SeMyQidVq8cJzH42HFihWUl5eTnp7eqiJ2795NYmIiffr04dZbb2X//v1NHu92uykpKam3iUgn0KU3OV1Hk23rYz5naPc75h1FInLO8/nay44dO0hPT6eyspKoqChWr17NwIEDW1zA8OHDWbp0Kf379ycvL4958+YxcuRIvvjiC6KjG14kav78+cybN6/F3yki1lZui4T+Y6DGDfs+NNdhSboEoroHujQRCRCfR1j69+/P9u3b2bJlCz/72c+YPn06O3fubHEBEydO5MYbbyQtLY3x48fz1ltvUVRUxMqVKxv9TGZmJsXFxXXbgQMHWvz9ImJhwQ44/yroNwGO58LX/4SCLwNdlYgEgM8jLKGhoaSmpgIwbNgwPvnkE5577jlefPFFvxQUExNDv3792LNnT6PHOBwOHA6HX75PRDoAux2SLzN/Pp4Ln78Kzh7mpF0ROSe0+nYcr9eL2+32Ry0AlJWVkZOTw2233ea3c4pIB3WiCAq+MC8JYVC39G2XXhCn5Q9EziU+BZbMzEwmTpxIz549KS0tZfny5WzYsIG1a9cCkJ+fT35+ft3oyI4dO4iOjqZnz57ExsYCMGbMGKZMmcKsWbMAuP/++5k0aRK9evXi0KFDPP744wQFBTF16lR/9ikiVlZxDPL/A55qeh87yAjvEdjtNZ/gnHgxhEYGukIRCTCfAkthYSHTpk0jLy8Pl8tFWloaa9euZezYsQAsWrSo3mTYUaPM4dolS5YwY8YMAHJycjhy5EjdMQcPHmTq1KkcPXqUuLg4rrjiCjZv3kxcXFxrexMRKzEMKM2Dwp3mz6cKj4We6RDsIFdL84tIA3wKLIsXL27y/blz5zJ37twmj8nNza33esWKFb6UICJW5/XAsW/MZwdxWjCJToCU0ebzhEREfKB/NUSkRUKpokvJ17B7V/03bHbzScrnX2VOlhUR8QMFFhFpntwPIfd9iL8QgsO42LaHytDRkDrMXK1WRKQNKbCISH1eDxzbC0W5Z1zRYcC15t05QcFsMaqYEBansCIi7UKBReRcVeOGw9lwdA+ERpmXcsAMILEp0Of7epaPiFiGAovIucpTBcFh4Ew0n9djGCeXOTHgaA4c/cY87uTSJybDDDQGjLJtJ/Hwcdiz+7v3q8shKgF6Dm/3dkSkc1NgETlXOaIhruHndTXHe4abq6PjwF4Bnhpzpy3IXIFWRMTPFFhE5OxOHIfCr6Cqom7XKNvnOKovhV6jISgkcLWJyDlBgUVEvlNVYQaTE8dP7jh5rScsBnpcVG/F2feMKr4f3U9hRUTahQKLyLms/Cgc2nbyhQEh4RB3ASQNC2hZIiKnU2ARORdVlsC3WyEoFPpcqVESEbE8BRaRc4nXCwc/huoTcN4wCHMGuiIRkWZRYBE5V5QdhgObzaDiTAx0NSIiPlFgEensDAMOfGyuu9J3PASHBroiERGfKbCIdGYFO+F4LiQMhpjkQFcjItJiCiwinVFVOez7CKJ7wICrA12NiEirKbCIdEZFB8yJtaV55oYvDyg0vjs+OBQSLzZXxRURCSAFFpHOqPsAc2spw4CDn5rPBgpy+K8uEZEWUmARkfpOFMG+DyH+QujSK9DViIgACiwicqq8/0D5YTh/DISEBboaEZE6CiwiYsr9wHyOUJcU8+emBIVwsW0XscU2KDxhrpRrDzIvHwU7zBV0gx1gDwabL/NnREQapsAiIqbeV5jb2RgGeGvYZRyhIizefCCitxo81eAuA48baqrMP701DXy+6dP3On6QEd7DsNuA0kOQOhacPVrWk4h0GgosIuIbmw2CQignnEpHV7+v77Jv3y422w+YD2A8+CkUfGluzartlJ9rg5HhNR9B0HOEX+sUkfalwCIi1hQeA30zWneO4/vg81cgrj8c3AqOKAiLgdAICA6HIP0TKNJR6G+riHReXXrBqAfMy1PVJ8wF9coPw/FyqDnR8CWr0xmYxx3PhcE/hMhubV21iDRAgUVEOje7HezhEBIOEbGAj5ewSvLg20/hwusVVkQCSIFFRKQx5Udhz78hKt685ft0NhqZRGyYd00lDjUvbYlIqymwiIg0JrIrDL2tZZ89mgMVRxVYRPzEHugCREQ6La1BI+I3CiwiIiJieQosIiJtwWYzF9kTEb9QYBERERHLU2AREWkLGl0R8SsFFhEREbE8BRYRkbZgs4G7JNBViHQaCiwiIm0htg/Y7PDNRvNJ1iLSKgosIiJtpcdFZnDJ/UBzWkRayafAkpWVRVpaGk6nE6fTSXp6Om+//Xbd+3/84x8ZPXo0TqcTm81GUVFRs867cOFCevfuTVhYGMOHD+fjjz/2qQkREcuKSYau58PejYGuRKRD8ymwJCUlsWDBArZu3cqnn37KVVddxeTJk/nyyy8BqKioYMKECTz88MPNPuerr77KnDlzePzxx/nss8+46KKLGD9+PIWFhb51IiJiVTE9zS33g0BXItJh+RRYJk2axNVXX03fvn3p168fTz75JFFRUWzevBmAe++9l4ceeogRI0Y0+5y/+93vuPPOO7n99tsZOHAgixYtIiIigj//+c++dSIiYmWxfaD6BHi9ga5EpENq8RwWj8fDihUrKC8vJz09vUXnqKqqYuvWrWRkZHxXkN1ORkYGmzZtavRzbrebkpKSepuISIdg19RBkZbw+W/Ojh07iIqKwuFwcPfdd7N69WoGDhzYoi8/cuQIHo+H+Pj4evvj4+PJz89v9HPz58/H5XLVbcnJyS36fhGR9qWHIYq0lM+BpX///mzfvp0tW7bws5/9jOnTp7Nz5862qK1RmZmZFBcX120HDhxo1+8XERGR9hXs6wdCQ0NJTU0FYNiwYXzyySc899xzvPjiiz5/ebdu3QgKCqKgoKDe/oKCAhISEhr9nMPhwOFw+Px9IiIi0jG1+mKq1+vF7Xa36LOhoaEMGzaMdevW1TvfunXrWjwvRkTEsnRFSKTFfBphyczMZOLEifTs2ZPS0lKWL1/Ohg0bWLt2LQD5+fnk5+ezZ88ewJzvEh0dTc+ePYmNjQVgzJgxTJkyhVmzZgEwZ84cpk+fziWXXMJll13Gs88+S3l5Obfffrs/+xQREZEOzKfAUlhYyLRp08jLy8PlcpGWlsbatWsZO3YsAIsWLWLevHl1x48aNQqAJUuWMGPGDABycnI4cuRI3TE333wzhw8f5rHHHiM/P58hQ4awZs2aMybiioiIyLnLp8CyePHiJt+fO3cuc+fObfKY3NzcM/bNmjWrbsRFRKRT0tL8Iq2iBQFERNqDpxrsIYGuQqTD8vkuIRER8YGnGqrKoPwohIQHuhqRDkuBRUSkLWW/DZVFEJ0Icf3Mpfm12q2IzxRYRERaqqocti6D4oNgeKCyBHoOB1fSd8fYg8DrgcKdcGQXpN0Ekd0CV7NIB6XAIiLSFE8NHM+Fon1gnPrgwpOLqnTrZ242G4TFQNfzITym/esU6eQUWETk3GUYcOI4HN8LFce/21+7wJuBefmmSwr0GW2OlohIQCiwiEjn5fVCWb45QlJdceb7BhDeBWJTIHGoOUoiIpakwCIiHZenGor2m5u3BrCdtvy9DaITICENHFEBKlJE/EGBRUSsq6rcHB0pzTNHQzht8TV7MMT0hF6XQ3BoAAoUkfaiwCIigVE7f+TYN+afJ4dGeh0/yAjvYdhtmOuWdOkNcRfoVmCRc5wCi4i0Da/XHBk5ngs1J84YHAHMu2li+5jzSE7OH9m3bxeb7Qeg75j2rFZELE6BRURaJJgaosv3Q8435hokZzg5fyTxYgiNaPf6RKRzUWARkYZVVZiXa8ryG3z7UtvXGLbvQe8rIEjPyBGRtqXAInIuqp0/cjQHKotPu7PmpJAIc/2R7gMbnD+yyahiXESywoqItAsFFpHOqHb9kaM54HF/t//UeSThXaBbX63KKiIdggKLSEfkqYbj+6B4vxlOTmcDontA0iV6QrCIdAoKLCJWYxjm030P7wJ3ycmdp12zsQeZt/v2HgVB+mssIp2f/qUTaS+GYc4XKT4IZQWnPUjvNGEuiOtnXrYREREFFpFWMwxzJKRo/8kg0tCCIzbAAIcTYpIhboBGRkREfKB/MUUa06wgclJdELlAQUREpA3oX1Y59zQ7iNjAEW0Gke4DzXkjIiISEAos0nkYBrhLTwkiTcwRcUSbD81TEBER6RAUWMT66oLIvmZcmqkNIhcoiIiIdCIKLBJY7lLz4XhlhY2MiJycrBoaBV16aUREROQcpcAibcNdai5sVpbfwIjIyRACCiIiItIsCiziG3cZHN979kszdUFEl2ZERKT1FFjE5C47eWmmdkTklFGQU4VGmiusakRERETakQKL1XlqoOYEVFdCdYV5qaXGbe6rqTSPaWKg4zunHmQ7c19dENGIiIiIWI8CS2sczjYfQldZZIaHhqZqQOP7aeD90z9jDzIfXhfsgJBIiIiF4DBzX5AD7PbW9yEiImJxCiytEZ1gPhfGXQY2G9gaGJmI7A6xKebttiIiItIiCiytEeYyt/hBDb/v9UJ5IRR8aYaaOrVzRICgEHAlgSsZgkPbumIREZEOSYGlLdnt5ihMdELjx9S4zVGa/ZvMy0unhplaYU4z0ETF6xKQiIickxRYAi3YAV3PN7fGVBaby80XftnABFvDvBwVFW+u8BrmastqRUREAkKBpSMIc0HCYGBww+97vea6KIezobKk4TuSgx3gOg+cSbr0JCIiHY4CS2dgt4Ozh7k1prry5KWnj8xbpeG0YGNAWIw5QTiiqzlqIyIiYhE+TYjIysoiLS0Np9OJ0+kkPT2dt99+u+79yspKZs6cSdeuXYmKiuKGG26goKCgyXPOmDEDm81Wb5swYULLupHGhYRBt1ToMxr6Zphbakb9n7v1heIDkLMOdv/7u21P7Z/roPArqD4R6G5EROQc49MIS1JSEgsWLKBv374YhsGyZcuYPHky27ZtY9CgQcyePZt//vOfrFq1CpfLxaxZs7j++uv58MMPmzzvhAkTWLJkSd1rh8PRsm6k5Ww2CI+B8IsbP8brgdI8+HbrmevO1A7IBDnMUZroRE0QFhERv/EpsEyaNKne6yeffJKsrCw2b95MUlISixcvZvny5Vx11VUALFmyhAsuuIDNmzczYsSIRs/rcDhISGjiThqxBnvQyVuwkxo/pvoEHNtrzqepTTS1waY21IR3ga59zbufREREmqHFc1g8Hg+rVq2ivLyc9PR0tm7dSnV1NRkZGXXHDBgwgJ49e7Jp06YmA8uGDRvo3r07Xbp04aqrruJXv/oVXbt2bfR4t9uN2+2ue11SUtLSNsTfQsIhfqC5NcQw4MRx89KSu7ThVX/tdnD1NB+eGBTS1hWLiEgH4HNg2bFjB+np6VRWVhIVFcXq1asZOHAg27dvJzQ0lJiYmHrHx8fHk5+f3+j5JkyYwPXXX09KSgo5OTk8/PDDTJw4kU2bNhEU1PAzbebPn8+8efN8LV2swGYzHy/Qc3jjx3hqzLk0+z4Eb82ZIzRgPp6gW3+I7KYJwiIi5wCfA0v//v3Zvn07xcXF/PWvf2X69Ols3LixxQXccsstdT8PHjyYtLQ0zj//fDZs2MCYMWMa/ExmZiZz5sype11SUkJycnKLaxCLCQo258HEpjR+TFUFHNkF+Z9/t+/0YBMZZ4aakLC2qlRERNqJz4ElNDSU1NRUAIYNG8Ynn3zCc889x80330xVVRVFRUX1RlkKCgp8mp/Sp08funXrxp49exoNLA6HQxNzz3WhEZA4pPH3DQPKD8PBT8zVhE8dhKkNNkHBENvHXJtGE4RFRCyt1euweL1e3G43w4YNIyQkhHXr1nHDDTcAkJ2dzf79+0lPT2/2+Q4ePMjRo0fp0aOJNUVEzsZmg6ju5tYYTw0cy4Fv3jUDDpw5pyY0CroP1ARhEZEA8ymwZGZmMnHiRHr27ElpaSnLly9nw4YNrF27FpfLxR133MGcOXOIjY3F6XRyzz33kJ6eXm/C7YABA5g/fz5TpkyhrKyMefPmccMNN5CQkEBOTg4PPPAAqampjB8/3u/NitQTFAxx/c2tMe7SkxOET5/YbTOf/eStgfOGgjOxTUsVETnX+RRYCgsLmTZtGnl5ebhcLtLS0li7di1jx44F4JlnnsFut3PDDTfgdrsZP348L7zwQr1zZGdnU1xcDEBQUBD/+c9/WLZsGUVFRSQmJjJu3Dh++ctf6pKPtD1PjfmcptI8qCw6uSBeAxN4G7qchGHOjQlzmXdGiYhIm/IpsCxevLjJ98PCwli4cCELFy5s9BjD+G61sfDwcNauXetLCSLf8dSYIx9lBVBxzLcVeG2ALci81BMVb85lCQnXHUciIhalZwlJ4Hg95ghHWSGcOAZV5TQ4wtEYm80c4YiKh5heChwiIp2YAou0nNd7coSjECqOmLcaN+nU+44NM1w4XObE2JiLICRCgUNERBqkwHIu83qhqsy8/bf8iDnBFIOGl59tZJ8j2gwcCWkQGqnAISIibUKBpSMzjJOB4whUHDUvrxhG3QBGAx84+aftuz9Co83VYrtfYN7Cq/VIRETEghRYAskwzHkbFUdPjnAUm6MeDQ1m1PvhlAMcURDRFbqmmqMd9oYfZyAiItKRKbC0hmFAdYX5ML+yQnM+h7emkWMbOUdopPlsndgUcDjNtUFERESkHv129MXe989c5j0kAsK7QExP844VPV1YRETE7xRYfOGpgr4Zga5CRETknKMZlj5p7LqOiIiItCUFlubyesCm/3eJiIgEgn4DN1dZAUQlBLoKERGRc5ICS3NVn4BgPZBRREQkEBRYRERExPIUWJrLWwN23VQlIiISCAoszVWaD9E9Al2FiIjIOUmBpbk81RAcGugqREREzkkKLCIiImJ5CizNUV2pO4REREQCSIGlOUrzIFprsIiIiASKAktzGF6tcisiIhJA+i0sIiIilqfA0hxag0VERCSgFFiaozRPa7CIiIgEkAJLc3hqtAaLiIhIACmwiIiIiOVpYsbZeGoAA/b8+5SdNjhxHBIvhq7nB6oyERGRc4YCy9kEBUPfsWfuP5rT/rWIiIico3RJSERERCxPgaWlbLZAVyAiInLOUGBpqYpjEBEb6CpERETOCZrD0hKeGjiyC8Jc4C6D0EjzZ3tQoCsTERHplDTC0hI2G5x/FQSFQHUF7N8EhV8FuioREZFOS4GlJexB5tObbUFwPBc8VeA6L9BViYiIdFq6JNQaniromqq1WERERNqYRlhERETE8hRYWiPMBZVFga5CRESk0/MpsGRlZZGWlobT6cTpdJKens7bb79d935lZSUzZ86ka9euREVFccMNN1BQUNDkOQ3D4LHHHqNHjx6Eh4eTkZHB7t27W9ZNe4vsZt7eLCIiIm3Kp8CSlJTEggUL2Lp1K59++ilXXXUVkydP5ssvvwRg9uzZvPHGG6xatYqNGzdy6NAhrr/++ibP+Zvf/Ibnn3+eRYsWsWXLFiIjIxk/fjyVlZUt76o92Wzg9Qa6ChERkU7Np0m3kyZNqvf6ySefJCsri82bN5OUlMTixYtZvnw5V111FQBLlizhggsuYPPmzYwYMeKM8xmGwbPPPsujjz7K5MmTAfjLX/5CfHw8//jHP7jlllta2lf7cSZByUGI6RnoSkRERDqtFs9h8Xg8rFixgvLyctLT09m6dSvV1dVkZGTUHTNgwAB69uzJpk2bGjzH3r17yc/Pr/cZl8vF8OHDG/0MgNvtpqSkpN4WMEEh4KkO3PeLiIicA3wOLDt27CAqKgqHw8Hdd9/N6tWrGThwIPn5+YSGhhITE1Pv+Pj4ePLz8xs8V+3++Pj4Zn8GYP78+bhcrrotOTnZ1zZERESkA/E5sPTv35/t27ezZcsWfvaznzF9+nR27tzZFrU1KjMzk+Li4rrtwIED7fr99UTGQfnhwH2/iIjIOcDnheNCQ0NJTU0FYNiwYXzyySc899xz3HzzzVRVVVFUVFRvlKWgoICEhIQGz1W7v6CggB49etT7zJAhQxqtweFw4HA4fC29bYQ5zecJiYiISJtp9TosXq8Xt9vNsGHDCAkJYd26dXXvZWdns3//ftLT0xv8bEpKCgkJCfU+U1JSwpYtWxr9jCUFh0J1B7mrSUREpAPyaYQlMzOTiRMn0rNnT0pLS1m+fDkbNmxg7dq1uFwu7rjjDubMmUNsbCxOp5N77rmH9PT0encIDRgwgPnz5zNlyhRsNhv33nsvv/rVr+jbty8pKSn84he/IDExkeuuu87fvbad6EQo+VZL9IuIiLQRnwJLYWEh06ZNIy8vD5fLRVpaGmvXrmXs2LEAPPPMM9jtdm644Qbcbjfjx4/nhRdeqHeO7OxsiouL614/8MADlJeXc9ddd1FUVMQVV1zBmjVrCAsL80N77cRmC3QFIiIinZpPgWXx4sVNvh8WFsbChQtZuHBho8cYhlHvtc1m44knnuCJJ57wpRRr0eJxIiIibUrPEvKH6EQoPRToKkRERDotBRZ/CAmDmqpAVyEiItJpKbD4Q8UxqCoNdBUiIiKdls/rsMhp8j6HE8eh/zWBrkRERKTTUmBprZAIcDjNtVhERESkTeiSUKvZwNAdQiIiIm1JgaW1XOdBcQCfZSQiInIOUGBprZBwCHJAZfHZjxUREZEWUWDxh8g4KD8S6CpEREQ6LQUWfwgJh7JCOG0VXxEREfEPBRZ/cJ0H4TFwNCfQlYiIiHRKCiz+EhYDVWWBrkJERKRTUmDxF2cPcwG5GnegKxEREel0FFj8yZUMxQcDXYWIiEino5Vu/SkiFvJ3wPHcAHx5YxN+bQH87ob4s57WTnJuTS1tMcG6OfW058Tu0+up/90jbZ/T43AR7Nnt12/tdfxbhnsPw54ONIm9A5Uq0iL2IDj/+wEtQYHFnyJioc+Vga5CpF28b1RxVdwgSO3l1/Puy93FFvsBSB3j1/OKSMemS0IiIiJieQosIiIiYnkKLCIiImJ5CiwiIiJieQosIiIiYnkKLCIiImJ5CiwiIiJieQosIiIiYnkKLCIiImJ5CiwiIiJieQosIiIiYnkKLCIiImJ5CiwiIiJieQosIiIiYnkKLCIiImJ5CiwiIiJieQosIiIiYnkKLCIiImJ5CiwiIiJieT4Flvnz53PppZcSHR1N9+7due6668jOzq53TE5ODlOmTCEuLg6n08lNN91EQUFBk+edO3cuNput3jZgwADfuxEREZFOyafAsnHjRmbOnMnmzZt55513qK6uZty4cZSXlwNQXl7OuHHjsNlsrF+/ng8//JCqqiomTZqE1+tt8tyDBg0iLy+vbvvggw9a3pWIiIh0KsG+HLxmzZp6r5cuXUr37t3ZunUro0aN4sMPPyQ3N5dt27bhdDoBWLZsGV26dGH9+vVkZGQ0XkhwMAkJCS1oQURERDq7Vs1hKS4uBiA2NhYAt9uNzWbD4XDUHRMWFobdbj/riMnu3btJTEykT58+3Hrrrezfv7/RY91uNyUlJfU2ERER6bxaHFi8Xi/33nsvl19+ORdeeCEAI0aMIDIykgcffJCKigrKy8u5//778Xg85OXlNXqu4cOHs3TpUtasWUNWVhZ79+5l5MiRlJaWNnj8/PnzcblcdVtycnJL2xAREZEOoMWBZebMmXzxxResWLGibl9cXByrVq3ijTfeICoqCpfLRVFREUOHDsVub/yrJk6cyI033khaWhrjx4/nrbfeoqioiJUrVzZ4fGZmJsXFxXXbgQMHWtqGiIiIdAA+zWGpNWvWLN58803ee+89kpKS6r03btw4cnJyOHLkCMHBwcTExJCQkECfPn2aff6YmBj69evHnj17Gnzf4XDUu+wkIiIinZtPIyyGYTBr1ixWr17N+vXrSUlJafTYbt26ERMTw/r16yksLOQHP/hBs7+nrKyMnJwcevTo4Ut5IiIi0kn5FFhmzpzJSy+9xPLly4mOjiY/P5/8/HxOnDhRd8ySJUvYvHkzOTk5vPTSS9x4443Mnj2b/v371x0zZswY/vCHP9S9vv/++9m4cSO5ubl89NFHTJkyhaCgIKZOneqHFkVERKSj8+mSUFZWFgCjR4+ut3/JkiXMmDEDgOzsbDIzMzl27Bi9e/fmkUceYfbs2fWOr71kVOvgwYNMnTqVo0ePEhcXxxVXXMHmzZuJi4trQUsiIiLS2fgUWAzDOOsxCxYsYMGCBU0ek5ubW+/1qRN3RURERE6nZwmJiIiI5SmwiIiIiOUpsIiIiIjlKbCIiIiI5SmwiIiIiOUpsIiIiIjlKbCIiIiI5SmwiIiIiOUpsIiIiIjlKbCIiIiI5SmwiIiIiOUpsIiIiIjlKbCIiIiI5SmwiIiIiOUpsIiIiIjlKbCIiIiI5SmwiIiIiOUpsIiIiIjlKbCIiIiI5SmwiIiIiOUpsIiIiIjlKbCIiIiI5SmwiIiIiOUpsIiIiIjlKbCIiIiI5SmwiIiIiOUpsIiIiIjlKbCIiIiI5SmwiIiIiOUpsIiIiIjlKbCIiIiI5SmwiIiIiOUpsIiIiIjlKbCIiIiI5SmwiIiIiOUpsIiIiIjl+RRY5s+fz6WXXkp0dDTdu3fnuuuuIzs7u94xOTk5TJkyhbi4OJxOJzfddBMFBQVnPffChQvp3bs3YWFhDB8+nI8//ti3TkRERKTT8imwbNy4kZkzZ7J582beeecdqqurGTduHOXl5QCUl5czbtw4bDYb69ev58MPP6SqqopJkybh9XobPe+rr77KnDlzePzxx/nss8+46KKLGD9+PIWFha3rTkRERDqFYF8OXrNmTb3XS5cupXv37mzdupVRo0bx4Ycfkpuby7Zt23A6nQAsW7aMLl26sH79ejIyMho87+9+9zvuvPNObr/9dgAWLVrEP//5T/785z/z0EMPtaQvERER6URaNYeluLgYgNjYWADcbjc2mw2Hw1F3TFhYGHa7nQ8++KDBc1RVVbF169Z6YcZut5ORkcGmTZsa/Izb7aakpKTeJiIiIp1XiwOL1+vl3nvv5fLLL+fCCy8EYMSIEURGRvLggw9SUVFBeXk5999/Px6Ph7y8vAbPc+TIETweD/Hx8fX2x8fHk5+f3+Bn5s+fj8vlqtuSk5Nb2oaIiIh0AC0OLDNnzuSLL75gxYoVdfvi4uJYtWoVb7zxBlFRUbhcLoqKihg6dCh2u/9uSMrMzKS4uLhuO3DggN/OLSIiItbj0xyWWrNmzeLNN9/kvffeIykpqd5748aNIycnhyNHjhAcHExMTAwJCQn06dOnwXN169aNoKCgM+4kKigoICEhocHPOByOepedREREpHPzadjDMAxmzZrF6tWrWb9+PSkpKY0e261bN2JiYli/fj2FhYX84Ac/aPC40NBQhg0bxrp16+r2eb1e1q1bR3p6ui/liYiISCfl0wjLzJkzWb58Oa+99hrR0dF1c0xcLhfh4eEALFmyhAsuuIC4uDg2bdrEf//3fzN79mz69+9fd54xY8YwZcoUZs2aBcCcOXOYPn06l1xyCZdddhnPPvss5eXldXcNiYiIyLnNp8CSlZUFwOjRo+vtX7JkCTNmzAAgOzubzMxMjh07Ru/evXnkkUeYPXt2veNrLxnVuvnmmzl8+DCPPfYY+fn5DBkyhDVr1pwxEVdERETOTT4FFsMwznrMggULWLBgQZPH5ObmnrFv1qxZdSMuIiIiIqfSs4RERETE8hRYRERExPIUWERERMTyFFhERETE8hRYRERExPIUWERERMTyFFhERETE8hRYRERExPIUWERERMTyFFhERETE8hRYRERExPIUWERERMTyFFhERETE8hRYRERExPIUWERERMTyFFhERETE8hRYRERExPIUWERERMTyFFhERETE8hRYRERExPIUWERERMTyFFhERETE8hRYRERExPIUWERERMTyFFhERETE8hRYRERExPIUWERERMTyFFhERETE8hRYRERExPIUWERERMTyFFhERETE8hRYRERExPIUWERERMTyFFhERETE8hRYRERExPJ8Cizz58/n0ksvJTo6mu7du3PdddeRnZ1d75j8/Hxuu+02EhISiIyMZOjQofztb39r8rxz587FZrPV2wYMGOB7NyIiItIp+RRYNm7cyMyZM9m8eTPvvPMO1dXVjBs3jvLy8rpjpk2bRnZ2Nq+//jo7duzg+uuv56abbmLbtm1NnnvQoEHk5eXVbR988EHLOhIREZFOJ9iXg9esWVPv9dKlS+nevTtbt25l1KhRAHz00UdkZWVx2WWXAfDoo4/yzDPPsHXrVi6++OLGCwkOJiEhwdf6RURE5BzQqjksxcXFAMTGxtbt+973vserr77KsWPH8Hq9rFixgsrKSkaPHt3kuXbv3k1iYiJ9+vTh1ltvZf/+/a0pTURERDqRFgcWr9fLvffey+WXX86FF15Yt3/lypVUV1fTtWtXHA4HP/3pT1m9ejWpqamNnmv48OEsXbqUNWvWkJWVxd69exk5ciSlpaUNHu92uykpKam3iUj7stttfJp7jPziSr+d88CxCj4/UESQ3ea3c4pI5+DTJaFTzZw5ky+++OKMuSa/+MUvKCoq4t///jfdunXjH//4BzfddBPvv/8+gwcPbvBcEydOrPs5LS2N4cOH06tXL1auXMkdd9xxxvHz589n3rx5LS1dRPxgzth+/O6dXby2/RBJXcLpHx9NcmwECa4wukaG4gwPISI0CEdwUF0AqfF4cdd4qajyUHKimiPlbgqKK8k9WkF2fin5JZVEhAbx2LUDA9ydiFiNzTAMw9cPzZo1i9dee4333nuPlJSUuv05OTmkpqbyxRdfMGjQoLr9GRkZpKamsmjRomZ/x6WXXkpGRgbz588/4z23243b7a57XVJSQnJyMsXFxTidTl/bEZEWKq6o5oM9R9h+4Dh7CsvYf6yCwhI3pe6aZn3eFR5CvNNBz9gIUrtHc3HPGC5P7UaUo8X/W0pEOpCSkhJcLlezfn/79K+CYRjcc889rF69mg0bNtQLKwAVFRUA2O31rzQFBQXh9Xqb/T1lZWXk5ORw2223Nfi+w+HA4XD4UrqItAFXRAjXpPXgmrQe9fZXe7yUVtZQ7q7BXePF4zWw2cBusxEWYicyNJjosGCCg7QUlIg0j0+BZebMmSxfvpzXXnuN6Oho8vPzAXC5XISHhzNgwABSU1P56U9/ytNPP03Xrl35xz/+wTvvvMObb75Zd54xY8YwZcoUZs2aBcD999/PpEmT6NWrF4cOHeLxxx8nKCiIqVOn+rFVEWkvIUF2YiNDiY0MDXQpItJJ+BRYsrKyAM6442fJkiXMmDGDkJAQ3nrrLR566CEmTZpEWVkZqampLFu2jKuvvrru+JycHI4cOVL3+uDBg0ydOpWjR48SFxfHFVdcwebNm4mLi2tFayIiItJZtGgOi9X4cg1MRERErMGX39+6gCwiIiKWp8AiIiIilqfAIiIiIpanwCIiIiKWp8AiIiIilqfAIiIiIpanwCIiIiKWp8AiIiIilqfAIiIiIpanwCIiIiKWp8AiIiIilufTww+tqvZxSCUlJQGuRERERJqr9vd2cx5r2CkCS2lpKQDJyckBrkRERER8VVpaisvlavKYTvG0Zq/Xy6FDh4iOjsZms53xfklJCcnJyRw4cKBTPs25s/cHnb9H9dexqb+Or7P3aNX+DMOgtLSUxMRE7PamZ6l0ihEWu91OUlLSWY9zOp2W+g/K3zp7f9D5e1R/HZv66/g6e49W7O9sIyu1NOlWRERELE+BRURERCzvnAgsDoeDxx9/HIfDEehS2kRn7w86f4/qr2NTfx1fZ++xM/TXKSbdioiISOd2ToywiIiISMemwCIiIiKWp8AiIiIilqfAIiIiIpbXIQPLk08+yfe+9z0iIiKIiYlp8Jj9+/dzzTXXEBERQffu3fmf//kfampq6t7/4IMPuPzyy+natSvh4eEMGDCAZ555ptk17Nmzh+jo6Ea/vzUC1V92djbf//73iY+PJywsjD59+vDoo49SXV3tz/YC1t+GDRuYPHkyPXr0IDIykiFDhvDyyy/7s7U6geqxsrKSGTNmMHjwYIKDg7nuuuv82NV3Avl38D//+Q8jR44kLCyM5ORkfvOb3/irrTr+6O/vf/87Y8eOJS4uDqfTSXp6OmvXrj3rd69cuZIhQ4YQERFBr169+O1vf+uvtuoEsr+1a9cyYsQIoqOjiYuL44YbbiA3N9dPnZkC1d/cuXOx2WxnbJGRkf5sDwjsf4aGYfD000/Tr18/HA4H5513Hk8++aS/WmtUh1zptqqqihtvvJH09HQWL158xvsej4drrrmGhIQEPvroI/Ly8pg2bRohISE89dRTAERGRjJr1izS0tKIjIzkgw8+4Kc//SmRkZHcddddTX5/dXU1U6dOZeTIkXz00Uedpr+QkBCmTZvG0KFDiYmJ4fPPP+fOO+/E6/XWnbcj9/fRRx+RlpbGgw8+SHx8PG+++SbTpk3D5XJx7bXX+q2/QPbo8XgIDw/n5z//OX/729/82pMV+ispKWHcuHFkZGSwaNEiduzYwY9//GNiYmLO+ve2vft77733GDt2LE899RQxMTEsWbKESZMmsWXLFi6++OIGv/ftt9/m1ltv5fe//z3jxo3jq6++4s477yQ8PJxZs2Z1+P727t3L5MmTmTNnDi+//DLFxcXMnj2b66+/ns8++6zD93f//fdz991319s3ZswYLr30Ur/1FugeAf77v/+bf/3rXzz99NMMHjyYY8eOcezYMb/3eAajA1uyZInhcrnO2P/WW28ZdrvdyM/Pr9uXlZVlOJ1Ow+12N3q+KVOmGD/60Y/O+r0PPPCA8aMf/ajR7/eXQPV3qtmzZxtXXHGFT59pLiv0d/XVVxu33367T5/xRSB7nD59ujF58mRfS/ZJe/f3wgsvGF26dKl3jgcffNDo379/yxo4C3/3N3DgQGPevHmNvj916lTjhz/8Yb19zz//vJGUlGR4vV7fGziL9u5v1apVRnBwsOHxeOr2vf7664bNZjOqqqpa1kQT2ru/023fvt0AjPfee8+nun3R3j3u3LnTCA4ONr7++utW1d0SHfKS0Nls2rSJwYMHEx8fX7dv/PjxlJSU8OWXXzb4mW3btvHRRx9x5ZVXNnnu9evXs2rVKhYuXOjXmn3Rlv2das+ePaxZs8anz/hDe/UHUFxcTGxsbKvqbYn27DEQ2qq/TZs2MWrUKEJDQ+udNzs7m+PHj/uvgbNoSX9er5fS0tIm//vmdrsJCwurty88PJyDBw+yb98+/xTfDG3V37Bhw7Db7SxZsgSPx0NxcTH/7//9PzIyMggJCfF7H41pq/5O96c//Yl+/foxcuTIVtfsq7bq8Y033qBPnz68+eabpKSk0Lt3b37yk5+0ywhLpwws+fn59f5DAupe5+fn19uflJSEw+HgkksuYebMmfzkJz9p9LxHjx5lxowZLF26NKAPj2qr/mp973vfIywsjL59+zJy5EieeOIJ/xXfDG3dX62VK1fyySefcPvtt7e+aB+1V4+B0lb9+XLettSSOp5++mnKysq46aabGj3v+PHj+fvf/866devwer3s2rWL//3f/wUgLy/PT9WfXVv1l5KSwr/+9S8efvhhHA4HMTExHDx4kJUrV/qv+GZoq/5OVVlZycsvv8wdd9zRumJbqK16/Oabb9i3bx+rVq3iL3/5C0uXLmXr1q388Ic/9F/xjbBMYHnooYcanKx06vb111/7/Xvff/99Pv30UxYtWsSzzz7LK6+80uixd955J//1X//FqFGjfP6ejtBfrVdffZXPPvuM5cuX889//pOnn376rJ/pSP0BvPvuu9x+++383//9H4MGDWrWZzpaj75Sf23TH8Dy5cuZN28eK1eupHv37o0ed+eddzJr1iyuvfZaQkNDGTFiBLfccgtgPpW+KR2hv/z8fO68806mT5/OJ598wsaNGwkNDeWHP/whxlkWXe8I/Z1q9erVlJaWMn369GZ/T0fo0ev14na7+ctf/sLIkSMZPXo0ixcv5t133yU7O7tNaqtlmUm39913HzNmzGjymD59+jTrXAkJCXz88cf19hUUFNS9d6qUlBQABg8eTEFBAXPnzmXq1KkNnnf9+vW8/vrrdb/ADcPA6/USHBzMH//4R3784x83WlNH6K9WcnIyAAMHDsTj8XDXXXdx3333ERQU1OhnOlJ/GzduZNKkSTzzzDNMmzatWTVBx+qxJTpCfwkJCXXnOdt5Txeo/lasWMFPfvITVq1aRUZGRpPntdls/PrXv+app54iPz+fuLg41q1b16zaOkJ/CxcuxOVy1buz66WXXiI5OZktW7YwYsSIRj/bEfo71Z/+9CeuvfbaM0Y5mtIReuzRowfBwcH069evbt8FF1wAmHcl9e/fv1n1tYRlAktcXBxxcXF+OVd6ejpPPvkkhYWFdUnxnXfewel0MnDgwEY/V5scG7Np0yY8Hk/d69dee41f//rXfPTRR5x33nlN1tQR+mvsM9XV1Xi93iYDS0fpb8OGDVx77bX8+te/9vmuko7SY0t1hP7S09N55JFHqK6urpvz8M4779C/f3+6dOnSZE2B6O+VV17hxz/+MStWrOCaa65p9vmDgoLq/k155ZVXSE9PP2vtHaG/ioqKM0aKav9d8Xq9TX62I/RXa+/evbz77ru8/vrrPtXVEXq8/PLLqampIScnh/PPPx+AXbt2AdCrVy+/1N6odp/m6wf79u0ztm3bZsybN8+Iiooytm3bZmzbts0oLS01DMMwampqjAsvvNAYN26csX37dmPNmjVGXFyckZmZWXeOP/zhD8brr79u7Nq1y9i1a5fxpz/9yYiOjjYeeeSRumN+//vfG1dddVWjdbTVXUKB6u+ll14yXn31VWPnzp1GTk6O8eqrrxqJiYnGrbfe2in6W79+vREREWFkZmYaeXl5ddvRo0f92l8gezQMw/jyyy+Nbdu2GZMmTTJGjx5d992dob+ioiIjPj7euO2224wvvvjCWLFihREREWG8+OKLluvv5ZdfNoKDg42FCxfW++9bUVFRo/0dPnzYyMrKMr766itj27Ztxs9//nMjLCzM2LJlS6fob926dYbNZjPmzZtn7Nq1y9i6dasxfvx4o1evXkZFRUWH76/Wo48+aiQmJho1NTV+68kqPXo8HmPo0KHGqFGjjM8++8z49NNPjeHDhxtjx45ts15rdcjAMn36dAM4Y3v33XfrjsnNzTUmTpxohIeHG926dTPuu+8+o7q6uu79559/3hg0aJARERFhOJ1O4+KLLzZeeOGFerfbPf7440avXr0araOtAkug+luxYoUxdOhQIyoqyoiMjDQGDhxoPPXUU8aJEyc6RX+Nfe+VV17p1/4C2aNhGEavXr0a/O7O0t/nn39uXHHFFYbD4TDOO+88Y8GCBX7tzV/9XXnllQ2eY/r06Y32d/jwYWPEiBFGZGSkERERYYwZM8bYvHlzp+nPMAzjlVdeMS6++GIjMjLSiIuLM37wgx8YX331Vafpz+PxGElJScbDDz/s156s1OO3335rXH/99UZUVJQRHx9vzJgxo03+h9/pbIZxlplOIiIiIgFmmbuERERERBqjwCIiIiKWp8AiIiIilqfAIiIiIpanwCIiIiKWp8AiIiIilqfAIiIiIpanwCIiIiKWp8AiIiIilqfAIiIiIpanwCIiIiKWp8AiIiIilvf/AY0ad54heiBNAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These are your orig (faint) and squished shapes for clip no 3 out of 3\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 when ready 1\n"
     ]
    }
   ],
   "source": [
    "#starting with MN, we moved the \"option2\" block earlier in the notebook, as we run it before running option 1 (as in other states)\n",
    "print(\"for some states like FL, MD, MN, NC we move in partial counties via clipPoly's before running option 2\")\n",
    "vtdCP = tractCP.copy()\n",
    "#CODE TO SQUISH GEOMETRIES FROM CLIP LINES INTO THE MAP\n",
    "print(\"adding code here to 'push in' state panhandles ...\")\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "#Adding in here trimming ops\n",
    "toSquishUnitsList = list()\n",
    "toSquishGeomsList = list()  #combined list of geoms we will squish (over all squish operations)\n",
    "toSquishCountiesList = list()\n",
    "squishedShapesList = list()   #unit shapes after squishing, list over all squish operations\n",
    "if nClips > 0:\n",
    "    clipPoints = ast.literal_eval(trimDF[\"clipPoints\"][DFrow])   #sets of four points\n",
    "    farPoints  = ast.literal_eval(trimDF[\"farPoints\"][DFrow])    #pairs of points\n",
    "    newFarPoints  = ast.literal_eval(trimDF[\"newFarPoints\"][DFrow])   #pairs\n",
    "    cPts = [Point(clipPoints[i][0],clipPoints[i][1]) for i in range(len(clipPoints)) ]\n",
    "    fPts = [Point(farPoints[i][0],farPoints[i][1]) for i in range(len(farPoints)) ]\n",
    "    nfPts = [Point(newFarPoints[i][0],newFarPoints[i][1]) for i in range(len(newFarPoints)) ]\n",
    "    \n",
    "    for clipNo in range(nClips):\n",
    "        print(\"performing squish no\",clipNo+1,\"for state\",STATE)\n",
    "        n0,n1,n2,n3 = int(4*clipNo), int(4*clipNo+1), int(4*clipNo+2), int(4*clipNo+3)\n",
    "        clipPoly = Polygon([cPts[n0],cPts[n1],cPts[n2],cPts[n3] ] )\n",
    "        cutLine = LineString([cPts[n0],cPts[n1]] )\n",
    "        farLine = LineString([fPts[int(2*clipNo)],fPts[int(2*clipNo+1)] ] )\n",
    "        newFarLine = LineString([nfPts[int(2*clipNo)],nfPts[int(2*clipNo+1)] ])\n",
    "        \n",
    "        toSquishCounties = list()\n",
    "        toSquishUnits = list()\n",
    "        for c in range(nCounties):\n",
    "            if clipPoly.intersects(countyGeom[c]):\n",
    "                toSquishCounties.append(c)\n",
    "                if clipPoly.contains(countyGeom[c]):\n",
    "                    toSquishUnits = toSquishUnits + countyTractList[c]\n",
    "                else:\n",
    "                    for t in countyTractList[c]:\n",
    "                        if clipPoly.contains(vtdCP[t]):\n",
    "                            toSquishUnits.append(t)\n",
    "        print(\"clipPoly\",clipNo,\"intersects\",toSquishCounties,\"counties and a total of\",len(toSquishUnits),\"units\")\n",
    "        toSquishGeomUnion = vtdGeom[toSquishUnits[0]]\n",
    "        toSquishGeoms = list()\n",
    "        for t in toSquishUnits:\n",
    "            toSquishGeomUnion = toSquishGeomUnion.union(vtdGeom[t])\n",
    "            toSquishGeoms.append(vtdGeom[t])\n",
    "        unclippedGeom = MAP.difference(toSquishGeomUnion)\n",
    "        altCutLine = toSquishGeomUnion.buffer(0.001).intersection(unclippedGeom)\n",
    "        print(\"Here is the original cutLine and an alternate based on cut shapes\")\n",
    "        #plotPoly(MAP,0.1)\n",
    "        plotPoly(cutLine.buffer(0.02))\n",
    "        plotPoly(altCutLine,0.1)\n",
    "        plt.show()\n",
    "        # could use altCutLine for a more accurate squish at the squish-no_squish boundary ...\n",
    "        #newShapes = squish(clippedGeomList, altCutLine, farLine, newFarLine)\n",
    "        squishedShapes = squish(toSquishGeoms, cutLine, farLine, newFarLine) #..but may distort results\n",
    "        toSquishUnitsList.append(toSquishUnits)\n",
    "        toSquishGeomsList.append(toSquishGeoms)\n",
    "        toSquishCountiesList.append(toSquishCounties)\n",
    "        squishedShapesList.append(squishedShapes)\n",
    "        for geo in toSquishGeoms:\n",
    "            plotPoly(geo,0.1)\n",
    "            plotPoly(geo.centroid.buffer(0.004),0.1)\n",
    "        for geo in squishedShapes:\n",
    "            plotPoly(geo)\n",
    "            plotPoly(geo.centroid.buffer(0.002),0.4)\n",
    "        print(\"These are your orig (faint) and squished shapes for clip no\",clipNo+1,\"out of\",nClips)\n",
    "        plt.show()\n",
    "        pause = input(\"enter 1 when ready\")    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "62667c48-6c66-4381-b01d-518af61651bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#now apply the squish to all impacted vtds.  \"tractGeom\" will retain original vtd shapes, so we can reset if needed\n",
    "for i, vList in enumerate(toSquishUnitsList):\n",
    "    squishedShapes = squishedShapesList[i]\n",
    "    for j, v in enumerate(vList):\n",
    "        vtdGeom[v] = squishedShapes[j]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "7b967d22-41fb-454f-ae47-d72d712daa4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in range(nTracts):  #optional full state visualization after squish\n",
    "    if t not in allCutVTDs and t not in skipList:\n",
    "        plotPoly(vtdGeom[t])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9715564f-3b60-43e5-9f1f-02f3dcee3933",
   "metadata": {},
   "outputs": [],
   "source": [
    "c = 22  #pick a county for visualization if desired\n",
    "print(\"here are the faint(original) and squished shapes for county\",c)\n",
    "for t in countyTractList[c]:\n",
    "    plotPoly(vtdGeom[t])\n",
    "    plotPoly(tractGeom[t],0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "760bc48e-0236-4ad7-b3b8-d74795009f53",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"alternate simple approach for Florida Keys - translate all toward county CP\")\n",
    "c = 43\n",
    "vtdGeom = tractGeom.copy()  #a reset\n",
    "nTranslated = 0\n",
    "newCP = Point(-81, 25.1)\n",
    "for v in countyTractList[c]:\n",
    "    if clipPoly.contains(tractCP[v]):\n",
    "        xDelta, yDelta = newCP.x - tractCP[v].x, newCP.y - tractCP[v].y\n",
    "        xOFF, yOFF = 0.95 * xDelta, 0.95 * yDelta\n",
    "        vtdGeom[v] = translate(vtdGeom[v],xoff= xOFF, yoff=yOFF)\n",
    "        nTranslated +=1\n",
    "print(\"I translated\",nTranslated,\"vtds toward the center of county\",c)\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]\n",
    "countyGeom[c] = vtdGeom[countyTractList[c][0]]\n",
    "for v in countyTractList[c]:\n",
    "    countyGeom[c] = countyGeom[c].union(vtdGeom[v])\n",
    "    plotPoly(hdCP[v].buffer(0.03))\n",
    "plotPoly(countyGeom[c])\n",
    "unsquishedMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "#plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "4ef91f8f-dabb-4c58-a8a4-bba8e725e586",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to use shifted shapes (e.g. for MD, MN), else enter 0 for most states to use uncut counties 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on confirming HD center 0 is inside the map's convex hull\n",
      "working on confirming HD center 500 is inside the map's convex hull\n",
      "working on confirming HD center 1000 is inside the map's convex hull\n",
      "working on confirming HD center 1501 is inside the map's convex hull\n",
      "working on confirming HD center 2180 is inside the map's convex hull\n",
      "working on confirming HD center 2692 is inside the map's convex hull\n",
      "working on confirming HD center 3192 is inside the map's convex hull\n",
      "working on confirming HD center 3692 is inside the map's convex hull\n",
      "working on confirming HD center 4192 is inside the map's convex hull\n",
      "working on confirming HD center 4692 is inside the map's convex hull\n",
      "working on confirming HD center 5192 is inside the map's convex hull\n",
      "working on confirming HD center 5692 is inside the map's convex hull\n",
      "working on confirming HD center 6192 is inside the map's convex hull\n",
      "working on confirming HD center 6692 is inside the map's convex hull\n",
      "working on confirming HD center 7192 is inside the map's convex hull\n",
      "working on confirming HD center 7692 is inside the map's convex hull\n",
      "working on confirming HD center 8193 is inside the map's convex hull\n",
      "working on confirming HD center 8693 is inside the map's convex hull\n",
      "Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note the MAP convex hull.  Overwrite with your own polygon if desired.\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 - draw polygonal HDs.  #REQUIRES CONSISTENT TREATMENT OF CCB'S \n",
    "#For GA, MA, MD, MN, NC we draw HDs for ALL vtds, even if they are in a CCB.  We use the clipPoly's to squish in the corners for these HD shapes\n",
    "#Not sure if below would work if we have cut districts AND squished-in corners\n",
    "#We normally draw for each (squished or orig) vtd.  Or, read in tract or blockgroup geometries, use those pops and unit centerpoints\n",
    "\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]  #remember, this is after any squish operation\n",
    "print(\"Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\")\n",
    "useSquish = int(input(\"enter 1 to use shifted shapes (e.g. for MD, MN), else enter 0 for most states to use uncut counties\"))\n",
    "if useSquish == 1:\n",
    "    convexMAP = hdCP[countyTractList[uncutCountyList[0]][0]].buffer(0.1) \n",
    "    for v in range(nTracts):\n",
    "        if v not in skipList and v not in allCutVTDs:\n",
    "            convexMAP = convexMAP.union(hdCP[v].buffer(0.1))\n",
    "else:  #build the map via simple union of counties not wholly in fully cut-out districts\n",
    "    convexMAP = countyGeom[uncutCountyList[0]]\n",
    "    for c in uncutCountyList:\n",
    "        convexMAP = convexMAP.union(countyGeom[c])\n",
    "    #convexMAP = MAP.centroid\n",
    "    #for c in range(nCounties):\n",
    "    #    if c not in allFusedCounties:\n",
    "    #        convexMAP = convexMAP.union(countyGeom[c])\n",
    "MAPhull = convexMAP.convex_hull.buffer(0.01*convexMAP.area**0.5)\n",
    "plotPoly(MAPhull)\n",
    "popHDlist = list()\n",
    "for t in range(nTracts):\n",
    "    if t not in allCutVTDs and t not in skipList:  #keep low-pop tracts as VEST may have assigned voters to them\n",
    "        popHDlist.append(t)\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on confirming HD center\",t,\"is inside the map's convex hull\")\n",
    "    if hdCP[t].disjoint(convexMAP.convex_hull):\n",
    "        plotPoly(hdCP[t].buffer(0.03))\n",
    "        hdCP[t] = nearest_points(convexMAP.convex_hull,hdCP[t])[0]\n",
    "        plotCenter(\"m\",hdCP[t])\n",
    "    else:\n",
    "        plotPoly(hdCP[t].buffer(0.01))\n",
    "plotPoly(convexMAP)\n",
    "plotPoly(convexMAP.convex_hull)\n",
    "plotPoly(MAPhull)\n",
    "for c in allFusedCounties:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "print(\"Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Note the MAP convex hull.  Overwrite with your own polygon if desired.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "8393e96a-75c6-48ec-94e8-1f6fe58d31df",
   "metadata": {},
   "outputs": [],
   "source": [
    "nHDs = nTracts  #need to run this if we start option 2 from a vest list, not a previously run HD poly list\n",
    "HDcountyNo = countyNo.copy()\n",
    "populatedTractList = popHDlist.copy()  #nomenclature equivalency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "bcaf6ea2-1c3b-48c1-9ad6-937d7b7e4385",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\n",
      "working on tract-tract distances for unit 0 out of 9007 . Time = 0\n",
      "working on tract-tract distances for unit 400 out of 9007 . Time = 136\n",
      "working on tract-tract distances for unit 800 out of 9007 . Time = 271\n",
      "working on tract-tract distances for unit 1201 out of 9007 . Time = 396\n",
      "working on tract-tract distances for unit 1780 out of 9007 . Time = 522\n",
      "working on tract-tract distances for unit 2180 out of 9007 . Time = 631\n",
      "working on tract-tract distances for unit 2592 out of 9007 . Time = 751\n",
      "working on tract-tract distances for unit 2992 out of 9007 . Time = 854\n",
      "working on tract-tract distances for unit 3392 out of 9007 . Time = 952\n",
      "working on tract-tract distances for unit 3792 out of 9007 . Time = 1045\n",
      "working on tract-tract distances for unit 4192 out of 9007 . Time = 1127\n",
      "working on tract-tract distances for unit 4592 out of 9007 . Time = 1200\n",
      "working on tract-tract distances for unit 4992 out of 9007 . Time = 1272\n",
      "working on tract-tract distances for unit 5392 out of 9007 . Time = 1340\n",
      "working on tract-tract distances for unit 5792 out of 9007 . Time = 1401\n",
      "working on tract-tract distances for unit 6192 out of 9007 . Time = 1458\n",
      "working on tract-tract distances for unit 6592 out of 9007 . Time = 1504\n",
      "working on tract-tract distances for unit 6992 out of 9007 . Time = 1544\n",
      "working on tract-tract distances for unit 7392 out of 9007 . Time = 1579\n",
      "working on tract-tract distances for unit 7792 out of 9007 . Time = 1607\n",
      "working on tract-tract distances for unit 8193 out of 9007 . Time = 1627\n",
      "working on tract-tract distances for unit 8593 out of 9007 . Time = 1637\n",
      "working on tract-tract distances for unit 8993 out of 9007 . Time = 1641\n",
      "All done; total elapsed  1641 seconds for TX with 37 districts to map\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "our maxD was 5.0\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 ....... ##########  THIS IS FOR TRACT - TRACT, despite the \"unit\" nomenclature\n",
    "print(\"Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\")\n",
    "#NOTE: FOR LARGE STATES, RESTRICT THE SEARCH TO COUNTIES WITHIN A 3/SQRT(nDistrict) DIAMETER OF THE HOME UNIT\n",
    "uuDist = [[int(maxD+1) for t in range(nHDs)] for t in range(nHDs)] #default: too big to capture\n",
    "closeCountyList = [list() for c in range(nCounties)]\n",
    "closeCountyDist = maxD   #min(maxD,3./float(nDistricts)**0.5 * maxD )  #use above maxD for these counties as well\n",
    "xScaleSquared = xScale*xScale\n",
    "if nDistricts < 10: #closeCountyDist >= maxD:  #small state\n",
    "    closeCountyList = [[i for i in range(nCounties)] for c in range(nCounties)]  #all counties are close enough\n",
    "else:\n",
    "    for c in uncutCountyList:\n",
    "        closeCountyList[c].append(c)\n",
    "        for cc in range(c+1,nCounties):\n",
    "            if cc in uncutCountyList:\n",
    "                if cc in neighborCountyList[c]:\n",
    "                    closeCountyList[c].append(cc)\n",
    "                    closeCountyList[cc].append(c)\n",
    "                else:    \n",
    "                    dist = getLongDist(countyCP[c], countyCP[cc],xScale)\n",
    "                    if dist < closeCountyDist:\n",
    "                        closeCountyList[c].append(cc)\n",
    "                        closeCountyList[cc].append(c)\n",
    "startTime = time.time()\n",
    "\n",
    "for i,t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on tract-tract distances for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime))\n",
    "    uuDist[t][t] == 0.\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "                dist = getLongDist(hdCP[t], hdCP[tt],xScale)\n",
    "                uuDist[t][tt], uuDist[tt][t] = dist, dist\n",
    "print(\"All done; total elapsed \",int(time.time()-startTime),\"seconds for\",STATE,\"with\",nDistricts,\"districts to map\" )\n",
    "plt.hist(uuDist)\n",
    "plt.show()\n",
    "print(\"our maxD was\",maxD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "2f392acb-ba52-4343-80ae-a58ba0b57366",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "similar to above, but for angles\n",
      "working on unit-unit angles for unit 0 out of 9007 . Time = 0\n",
      "working on unit-unit angles for unit 400 out of 9007 . Time = 69\n",
      "working on unit-unit angles for unit 800 out of 9007 . Time = 135\n",
      "working on unit-unit angles for unit 1201 out of 9007 . Time = 198\n",
      "working on unit-unit angles for unit 1780 out of 9007 . Time = 262\n",
      "working on unit-unit angles for unit 2180 out of 9007 . Time = 321\n",
      "working on unit-unit angles for unit 2592 out of 9007 . Time = 382\n",
      "working on unit-unit angles for unit 2992 out of 9007 . Time = 436\n",
      "working on unit-unit angles for unit 3392 out of 9007 . Time = 488\n",
      "working on unit-unit angles for unit 3792 out of 9007 . Time = 537\n",
      "working on unit-unit angles for unit 4192 out of 9007 . Time = 576\n",
      "working on unit-unit angles for unit 4592 out of 9007 . Time = 615\n",
      "working on unit-unit angles for unit 4992 out of 9007 . Time = 654\n",
      "working on unit-unit angles for unit 5392 out of 9007 . Time = 692\n",
      "working on unit-unit angles for unit 5792 out of 9007 . Time = 726\n",
      "working on unit-unit angles for unit 6192 out of 9007 . Time = 755\n",
      "working on unit-unit angles for unit 6592 out of 9007 . Time = 781\n",
      "working on unit-unit angles for unit 6992 out of 9007 . Time = 805\n",
      "working on unit-unit angles for unit 7392 out of 9007 . Time = 822\n",
      "working on unit-unit angles for unit 7792 out of 9007 . Time = 837\n",
      "working on unit-unit angles for unit 8193 out of 9007 . Time = 849\n",
      "working on unit-unit angles for unit 8593 out of 9007 . Time = 854\n",
      "working on unit-unit angles for unit 8993 out of 9007 . Time = 856\n",
      "All done with angles; total elapsed seconds = 856\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 \n",
    "print(\"similar to above, but for angles\")  #convention is angle[a][b] is from a to b\n",
    "uuAngle = [[0. for t in range(nHDs)] for t in range(nHDs)]\n",
    "\n",
    "pi = 3.141592653\n",
    "twoPi = pi*2.\n",
    "startTime = time.time()\n",
    "for i, t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on unit-unit angles for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime)  )\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "            angLE = math.atan2(hdCP[tt].y - hdCP[t].y, xScale * (hdCP[tt].x - hdCP[t].x) )\n",
    "            uuAngle[t][tt], uuAngle[tt][t] = angLE % twoPi, (angLE + pi) % twoPi\n",
    "print(\"All done with angles; total elapsed seconds =\",int(time.time()-startTime) )\n",
    "#plt.hist(uuAngle)\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "4cc54eba-ca37-4680-9699-37332133afb8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "767079.811 37 28381953.0 37.0 29145505.0\n",
      "28381953.0 28381953 0.9738\n"
     ]
    }
   ],
   "source": [
    "print(r3(aDP), nDistricts, statePop, statePop/aDP, trueStatePop)\n",
    "HDweight = [0 for t in range(nHDs)]\n",
    "for t in populatedTractList:\n",
    "    HDweight[t] = tractPop[t] / trueStatePop #skipping the cutList tracts\n",
    "print(statePop,np.sum([tractPop[t] for t in populatedTractList]), r5(np.sum(HDweight))) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "dac2348a-060a-40a9-beeb-02ff70ec1aa1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\n"
     ]
    }
   ],
   "source": [
    "print(\"RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\")\n",
    "opt2nbrCtyList = [neighborCountyList[c].copy() for c in range(nCounties)]\n",
    "for i in range(nClips):\n",
    "    cList = toSquishCountiesList[i]\n",
    "    for c in cList:\n",
    "        for cc in cList:\n",
    "            for ccc in neighborCountyList[cc]:\n",
    "                if ccc not in opt2nbrCtyList[c] and ccc != c:\n",
    "                    opt2nbrCtyList[c].append(ccc)\n",
    "#for c in range(nCounties):\n",
    "#    for cc in opt2nbrCtyList[c]:\n",
    "#        plotPoly(countyGeom[cc])\n",
    "#    plotCenter(c,countyGeom[c])\n",
    "#    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "3873aaa2-0c39-4ac0-99c3-92dd7c18c555",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\n",
      "For each Home District, we will consider a wedge as one-from-full when it is within 2576.079 of targetWedgePop\n",
      "I am working on HD number 0 of 9007 HDs.  Elapsed sec = 0\n",
      "I am working on HD number 400 of 9007 HDs.  Elapsed sec = 203\n",
      "I am working on HD number 800 of 9007 HDs.  Elapsed sec = 390\n",
      "I am working on HD number 1201 of 9007 HDs.  Elapsed sec = 602\n",
      "I am working on HD number 1780 of 9007 HDs.  Elapsed sec = 798\n",
      "I am working on HD number 2180 of 9007 HDs.  Elapsed sec = 1018\n",
      "I am working on HD number 2592 of 9007 HDs.  Elapsed sec = 1234\n",
      "I am working on HD number 2992 of 9007 HDs.  Elapsed sec = 1431\n",
      "I am working on HD number 3392 of 9007 HDs.  Elapsed sec = 1618\n",
      "I am working on HD number 3792 of 9007 HDs.  Elapsed sec = 1790\n",
      "I am working on HD number 4192 of 9007 HDs.  Elapsed sec = 1978\n",
      "I am working on HD number 4592 of 9007 HDs.  Elapsed sec = 2147\n",
      "I am working on HD number 4992 of 9007 HDs.  Elapsed sec = 2345\n",
      "I am working on HD number 5392 of 9007 HDs.  Elapsed sec = 2541\n",
      "I am working on HD number 5792 of 9007 HDs.  Elapsed sec = 2739\n",
      "I am working on HD number 6192 of 9007 HDs.  Elapsed sec = 2933\n",
      "I am working on HD number 6592 of 9007 HDs.  Elapsed sec = 3127\n",
      "I am working on HD number 6992 of 9007 HDs.  Elapsed sec = 3321\n",
      "I am working on HD number 7392 of 9007 HDs.  Elapsed sec = 3519\n",
      "I am working on HD number 7792 of 9007 HDs.  Elapsed sec = 3723\n",
      "I am working on HD number 8193 of 9007 HDs.  Elapsed sec = 3908\n",
      "I am working on HD number 8593 of 9007 HDs.  Elapsed sec = 4108\n",
      "I am working on HD number 8993 of 9007 HDs.  Elapsed sec = 4312\n",
      "4317.292 seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\n",
      "vtd avg and sd usage are 0.99984 0.15279\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing option 2 .......\n",
    "# BELOW modified Dec23 to use inter-unit distances and angles, (counties still wedgeIntersxn) otherwise similar to HD2\n",
    "# --THIS ESSENTIALLY TAKES THE ORIGINAL TRACT-BASED HD centerpoints, and redraws HD2 districts after convexifying corners and convex_hull\n",
    "print(\"Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\") \n",
    "#this is a hybrid of HD2 and the organic code, in that all wedge tracts must be in a chain of neighboring counties\n",
    "#General sequence: draw 4 equi-angle wedges with random starting orientation.  If not all can fill a quarter aDP ...\n",
    "# ... find the closest map boundary point to the tract center point in the shortest wedge.  Orient the 0th wedge to face this point\n",
    "# ... determine the \"maxWedgePop\" for this short wedge and the other three wedges extended past the boundary\n",
    "# ...  if this results in only one short wedge, or opposing short wedges, adjust wedge angles\n",
    "# Regardless of whether we re-oriented or adjusted angles, compute each wedgePop for infinite radius\n",
    "#   ... then adjust other targetWedgePops if some found to be short.\n",
    "#   ... for non-shorted wedges, use bisection method to adjust radius to meet targetWedgePop\n",
    "#   ... once total HDpop within tolerance, add/subtract a tract fraction to fulfill HDpop\n",
    "#  create a list of fully used tracts per HD, save the tract# of the split tract and its fractional use\n",
    "#  Compute tractUse across all HDs at the end from the tractUsageLists.  Defer patching and partisan calcs to another code\n",
    "\n",
    "pi=3.1415926536\n",
    "#MAPhull = MAP.convex_hull #used for exitAngle calc.  Defined in an above block to allow user modification\n",
    "nWedges = 4  #number of wedges per home district polygon  \n",
    "avgWedgeAngle = 2.*pi / nWedges\n",
    "angle, angle2, wedgePoly = [0.]*nWedges, [0.]*nWedges, [dummyPoly]*nWedges  #start and stop angle of each wedge\n",
    "pt1, pt2, pt3 = [Point(0,0)]*nWedges, [Point(0,0)]*nWedges, [Point(0,0)]*nWedges #these four define the polygon wedge for a growing home district\n",
    "tractUse = [0.] * nHDs  #this will store how much we use this tract in ALL HD's vs. expectation\n",
    "HDtractList = [list()]*nHDs\n",
    "splitTractNo = [-999]*nHDs  #the tract that is only partially used to finish each HD\n",
    "splitTractUse = [0.]*nHDs  #and this is what fraction of the split tract is included\n",
    "HDvPop = [0.]*nHDs\n",
    "#HDweight = [tractPop[t] / (statePop - excludedPop) for t in range(nTracts)]  #relative weight of each drawn HD\n",
    "HDPoly1 = [dummyPoly]*nHDs  #final 4-wedge shape, unionized from blockgroups / tracts\n",
    "HDarea = [0.]*nHDs  #geographical area of each home district (after boundary trim)\n",
    "HDradius = [[0.]*nWedges for t in range(nHDs)] #final wedge length for each Home District wedge\n",
    "HDangle = [[0.]*nWedges for t in range(nHDs)] #final starting angle for each HD wedge\n",
    "angle0 = [-999.] * nHDs  #orientation of 0th wedge.  Random except re-oriented if we are near-boundary\n",
    "avgTractPop = statePop/len(populatedTractList)\n",
    "tolerPops = [0.8 * avgTractPop, 0.5 * np.max(tractPop)]  #threshold gap before adding one more unit to a wedge \n",
    "tolerPop = tolerPops[0]\n",
    "print(\"For each Home District, we will consider a wedge as one-from-full when it is within\",r3(tolerPops[0]),\"of targetWedgePop\")\n",
    "tractPrintInterval = 400  #for tracking progress\n",
    "levelL = 0.36 #sqrt(pop) for angle=std  These two control distortion in wedge angles relative to wedgePop shortness\n",
    "maxAngleRatio = 1.9  #for tightening tract weighting near boundaries  #HD2\n",
    "maxAngle = 1.8*pi/2. # limit to avoid wedges too close to half a pie\n",
    "minAdjRatio = 0.5  #min ratio of pop of adjacent wedge (to min wedge) to targetWedgePop to not consider this a corner HD\n",
    "maxUncap = 0.5 #the max ratio of uncaptured pop in a maxWedge vs. target wedge pop that we will not stretch to include (7/23)\n",
    "oppWt = 0.0    #the fraction of gap between normal targetWedgePop and the minWedgePop that we allow the opposite wedge to add to tgtPop = minWedgePop\n",
    "maxWedgePop = [0.] * nWedges  #wedge pop if we explode wedge to maximum radius\n",
    "printDebug = \"no\"\n",
    "codeStartTime = time.time()\n",
    "hdCPpop = [HDweight[t] * statePop for t in range(nHDs)]\n",
    "countyHDlist = [list() for c in range(nCounties)]\n",
    "for t in populatedTractList:\n",
    "    countyHDlist[HDcountyNo[t]].append(t)\n",
    "\n",
    "for kkkj, t in enumerate(populatedTractList):  #range(nTracts) : #loop on each tract. \n",
    "    hC = HDcountyNo[t]     #this tract's home county\n",
    "    HDtractList[t] = [t] #seed the list of tracts in this HD\n",
    "    wedgeList = [list() for w in range(nWedges)]   #list of each wedge's tracts, excluding home tract\n",
    "    barredList = list()  #list of wedge numbers for which we are barred from altering their targetWedgePops\n",
    "    if (kkkj % tractPrintInterval) == 0 : \n",
    "        print(\"I am working on HD number {0} of {1} HDs.  Elapsed sec = {2}\".format(t,nHDs,int(time.time()-codeStartTime) ) )  \n",
    "    nActiveWedges = nWedges #active wedges have not run over boundary\n",
    "    wedgePop = [0.]*nWedges\n",
    "    targetWedgePop = [aDP / nWedges]*nWedges  #at beginning, split districtPop equally among wedges\n",
    "    \n",
    "    angle0[t] = random.uniform(0,2.*pi)  #imparts random orientation to the midangle of our starting wedge\n",
    "    wedgeAngle = [avgWedgeAngle for w in range(nWedges) ] #reset to equi-angle when starting each tract\n",
    "    for nW in range(nWedges-1):\n",
    "        wedgeAngle[nW] += random.uniform(-0.0001,0.0001)  #this wiggle solves a later indexing ambiguity for corner tracts\n",
    "    wedgeAngle[nWedges-1] = 2.*pi - (np.sum(wedgeAngle) - wedgeAngle[nWedges-1] ) #squaring up to 2pi total\n",
    "    startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "    for nW in range(1,nWedges):\n",
    "        startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "    endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "    #  TRIAL LOOP TO SEE WHICH WEDGES CAN FILL TO TARGET POP w/equiangle wedges\n",
    "    maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]    \n",
    "    maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "    willFill = [0] * nWedges #would this wedge meet its target with infinite radius?\n",
    "    for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "        iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "        #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList) \n",
    "        nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "        maxWedgePop[nW] += (iCP + nonCP)\n",
    "        wedgeList[nW] = Li + Ln\n",
    "        if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "            willFill[nW] = 1\n",
    "     \n",
    "    if np.sum(willFill) < nWedges:  #at least one wedge couldn't reach its wedgePop target (went over boundary) ...\n",
    "        minW = maxWedgePop.index(np.min(maxWedgePop)) #.. so we will orient the 0th wedge to face the shortest wedgePop's closest boundary\n",
    "        exitAngle = getExitAngle(hdCP[t],maxWedgePoly[minW], MAPhull, startAngle[minW], endAngle[minW])\n",
    "        angle0[t] = exitAngle - 0.5*(2.*pi / nWedges)  #Now reset all angles based on new starting orientation.  All wedge angles still equal\n",
    "        startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "        for nW in range(1,nWedges):\n",
    "            startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "        endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "        maxWedgePoly = [buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]\n",
    "        \n",
    "        willFill = [0]*nWedges\n",
    "        #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation (wedge angles still constant)\n",
    "        maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop        \n",
    "        for nW in range(nWedges):   #... then add in-county and nonCounty wedge Pop from contiguous chain of counties\n",
    "            iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "            #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "            nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                    opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "            maxWedgePop[nW] += (iCP + nonCP)\n",
    "            wedgeList[nW] = Li + Ln\n",
    "            if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                willFill[nW] = 1       \n",
    "    \n",
    "    if np.sum(willFill) < nWedges:  #check if we need to modify wedge angles after possible re-orientation.  \n",
    "        # If so, re-draw maxWedgePoly's, re-calc maxWedgePops\n",
    "        nUnfilledWedges = nWedges - np.sum(willFill)\n",
    "        isChange, newInclA = getNewAngles(maxWedgePop, targetWedgePop, aDP, levelL, minAdjRatio, maxAngle, maxAngleRatio, nUnfilledWedges )\n",
    "        if isChange: #no longer equi-angle\n",
    "            newStartAngle = [0.5*(startAngle[nW]+endAngle[nW]) - 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            newEndAngle =   [0.5*(startAngle[nW]+endAngle[nW]) + 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            startAngle, endAngle, wedgeAngle = newStartAngle.copy(), newEndAngle.copy(), newInclA.copy()\n",
    "            maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], \n",
    "                                        maxD/math.cos(0.5*wedgeAngle[nW]), xScale ) for nW in range(nWedges) ]\n",
    "            willFill = [0]*nWedges\n",
    "            #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation and new wedge angles\n",
    "            maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "            for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "                iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])                \n",
    "                #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "                nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                        opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "                maxWedgePop[nW] += (iCP + nonCP)\n",
    "                wedgeList[nW] = Li + Ln\n",
    "            minW = wedgeAngle.index(np.max(wedgeAngle)) #should be 0th wedge, but playing it safe.  This is the 1st wide-angle wedge ..\n",
    "            oppW = int(int(minW+nWedges/2)%nWedges)   #and its opposite\n",
    "            if maxWedgePop[minW] > maxWedgePop[oppW] and maxWedgePop[oppW] < aDP / nWedges:  #minW and oppW are flipped after inclA adjmt\n",
    "                oppW = minW\n",
    "                minW = int(int(minW+nWedges/2)%nWedges)\n",
    "            if maxWedgePop[minW] < targetWedgePop[oppW]:  #we need to constrain oppW in this HD2 implementation; redistribute tgt to adjacents\n",
    "                maxNonOppW = np.sum(maxWedgePop) - maxWedgePop[oppW] #...but only if other wedges can pick up slack; need to check\n",
    "                minOppWedgePop = aDP - maxNonOppW  #cannot set oppW target below this or we won't reach aDP across all wedges\n",
    "                barredList = [oppW]\n",
    "                targetWedgePop[oppW] = max(minOppWedgePop, maxWedgePop[minW] + oppWt * (targetWedgePop[oppW] - maxWedgePop[minW]) )\n",
    "                tWPgap = aDP / float(nWedges) - targetWedgePop[oppW] \n",
    "                for nW in range(nWedges):\n",
    "                    if nW != minW and nW != oppW:\n",
    "                        targetWedgePop[nW] += tWPgap/float(nWedges - 2.)  #if oppW target is limited, allot to adjacent wedges\n",
    "            for nW in range(nWedges):\n",
    "                if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                    willFill[nW] = 1  \n",
    "    \n",
    "    if abs(np.sum(targetWedgePop) / aDP - 1.) > 0.001:\n",
    "        raise Exception(\"FAIL! Our target wedgepops\",targetWedgePop, np.sum(targetWedgePop),\"no longer add up to\",aDP)\n",
    "    \n",
    "    if np.sum(willFill) == nWedges:  #all wedges will fill.  Will any leave a small near-boundary remnant?  If so, pick up smallest remnant\n",
    "        remnantWedgePopFrac = [ ( maxWedgePop[w] - targetWedgePop[w] )/targetWedgePop[w] for w in range(nWedges) ]\n",
    "        if np.min(remnantWedgePopFrac) < maxUncap :  #lessen tWP's of *adjacent* wedges, then increase this wedge's target --> max\n",
    "            minW = remnantWedgePopFrac.index(np.min(remnantWedgePopFrac))\n",
    "            oppW = int((minW+nWedges/2)%nWedges)\n",
    "            #print(\"filling to boundary for tract,wedge, tWP, mWP =\",t,minW, r3(targetWedgePop[minW]), maxWedgePop[minW])\n",
    "            for nW in range(nWedges):\n",
    "                if nW != minW and nW != oppW:\n",
    "                    targetWedgePop[nW] -= (remnantWedgePopFrac[minW] * targetWedgePop[minW] ) / (nWedges - 2.)\n",
    "            targetWedgePop[minW] = maxWedgePop[minW]\n",
    "            #       OK, READY TO SOLVE FOR NON-FILLED WEDGE SIZES once we adjust targets for unfilled wedges\n",
    "    #print(t,\" prior to rebalanceTWP call, mWPs, tWPs are\",maxWedgePop, targetWedgePop)\n",
    "    targetWedgePop, willFill = rebalanceTWPs(maxWedgePop, targetWedgePop, barredList)\n",
    "    #if np.max(targetWedgePop) - np.min(targetWedgePop) > 0.02 * aDP: #debug\n",
    "    #    print(\"for tract\",t,\",  After rebalancing but before tweaks for blocky pop adds: willFill, targetWedgePops and maxWedgePops are ...\")\n",
    "    #    for w in range(nWedges):\n",
    "    #        print(w, willFill[w],r3(targetWedgePop[w]),int(maxWedgePop[w]) )\n",
    "    for w in range(nWedges):  #WHEW!  WE CAN FINALLY ASSIGN ALL WEDGES' POPS AND TRACTLISTS\n",
    "        loop = 0\n",
    "        if willFill[w] == 0:  #wedge is maxed out\n",
    "            wedgePop[w] = maxWedgePop[w]\n",
    "            #wedgeList[w] = ...  #we already captured this list = maxWedge list\n",
    "            HDradius[t][w] = maxD/math.cos(0.5*wedgeAngle[w])\n",
    "        else:  #need to solve for wedge radius to meet targetPop.  Use bisection as scipy minimize no faster\n",
    "            HDcpWP = hdCPpop[t] * wedgeAngle[w]/(2.*pi)\n",
    "            nonHDcpTWP = targetWedgePop[w] - HDcpWP\n",
    "            #wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeB(nontractTWP,t,hC,maxWedgePoly[w],tolerPop,tractCP, tractPop,\n",
    "            #                                                        countyNo,countyTractList,countyGeom, neighborCountyList,uuDist[t])\n",
    "            wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeC(nonHDcpTWP,t,hC, maxWedgePoly[w],startAngle[w], endAngle[w], tolerPop,\n",
    "                                                                    hdCP, hdCPpop,HDcountyNo, countyHDlist,countyGeom,\n",
    "                                                                    opt2nbrCtyList,uuDist[t],uuAngle[t])\n",
    "            popGap = nonHDcpTWP - wedgePop[w]  #gap between target and solved wedge pop; can be negative\n",
    "            notYetAdjusted, nextW = True, w+1  #looking to adjust a later wedge's target pop to minimize drift in total HD pop\n",
    "            while notYetAdjusted and nextW < nWedges:\n",
    "                if willFill[nextW] == 1 and maxWedgePop[nextW] > targetWedgePop[nextW] + popGap :  #can accommodate\n",
    "                    targetWedgePop[nextW] += popGap\n",
    "                    notYetAdjusted = False\n",
    "                nextW +=1          \n",
    "\n",
    "        HDangle[t][w] = startAngle[w]\n",
    "    #print(t,\"tract. After TWP adjustment, targetWedgePops are\",targetWedgePop)\n",
    "    HDtractList[t] = [t]\n",
    "    totPop = hdCPpop[t]\n",
    "    for nW in range(nWedges):\n",
    "        for tt in wedgeList[nW]:\n",
    "            HDtractList[t].append(tt)  #building the list of tracts in the Home District  (we'll keep up with below changes)\n",
    "            totPop += hdCPpop[tt]\n",
    "    offsetPop = totPop - aDP  #we have solved for all wedge radii to get each within one tractPop of target ... \n",
    "    HDvPop[t] = totPop\n",
    "    #if offsetPop > 0:   #... now include a splitPoly to nail the avg District Pop\n",
    "    #    isOver = True  #we slightly overshot.  ID the farthest-away tract for split-jettison\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], hdCPpop, neighborList)\n",
    "    #    HDvPop[t] = totPop - (1. - splitTractUse[t]) * tractPop[splitTractNo[t]]\n",
    "    #if offsetPop < 0:\n",
    "    #    isOver = False  #we have undershot.  Pick up the nearest contiguous tract that can be split to fill the gap\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], tractPop, neighborList)\n",
    "    #    HDtractList[t].append(splitTractNo[t])\n",
    "    #    HDvPop[t] = totPop + splitTractUse[t]*tractPop[splitTractNo[t]]       \n",
    "    #if abs(1. - HDvPop[t]/aDP) > 0.005 :  #something went wrong with pop assignation for this HD\n",
    "    #    print(\"WARNING! Total Home District pop was\",HDvPop[t],\"vs target\",aDP,\"for tract\",t)   ##### hdCP topology not yet known; skip partial\n",
    "        \n",
    "    HDPoly1[t] = dummyPoly  #tractGeom[t] #skip constructing the HD poly shape.  Do compute area of the Home District, including final partial\n",
    "    HDarea[t] = 0.\n",
    "    for tt in HDtractList[t]:\n",
    "        if tt == splitTractNo[t]:\n",
    "            tractUse[tt] += nDistricts * HDweight[t] * splitTractUse[t] \n",
    "            #HDarea[t]   += tractArea[tt] * splitTractUse[t]  #these are original (nonsquished) areas\n",
    "            \n",
    "        else:\n",
    "            tractUse[tt] += nDistricts * HDweight[t]\n",
    "            #HDarea[t]    += tractArea[tt]\n",
    "            #HDPoly1[t] = HDPoly1[t].union(tractGeom[tt])\n",
    "    HDPoly1[t] = buildPoly(hdCP[t],HDradius[t], HDangle[t] )\n",
    "    #HDarea[t] = HDPoly1[t].area + splitTractUse[t] * tractArea[splitTractNo[t]]  \n",
    "    #if splitTractUse[t] > 0.5:\n",
    "    #    HDPoly1[t] = HDPoly1[t].union(tractGeom[splitTractNo[t]])\n",
    "                          \n",
    "    #ALL DONE ESTABLISHING THE FINAL HDTRACTLIST.  FINALIZE STATS\n",
    "totalTime = time.time() - codeStartTime\n",
    "print(r3(totalTime),\"seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\")\n",
    "n_bins=50\n",
    "popTractUse, plotWts = [tractUse[t] for t in populatedTractList], [HDweight[t] for t in populatedTractList]\n",
    "\n",
    "origHDuseAvg, origHDuseSD = getWeightedAvgAndSD(tractUse,HDweight)\n",
    "print(\"vtd avg and sd usage are\",r5(origHDuseAvg), r5(origHDuseSD) )\n",
    "\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "ax.hist(popTractUse, bins=n_bins, weights=plotWts)\n",
    "plt.show()\n",
    "HDvPop = [np.sum([hdCPpop[tt] for tt in HDtractList[t]]) for t in range(nHDs)]\n",
    "plt.scatter([hdCPpop[t] for t in populatedTractList],[HDvPop[t] for t in populatedTractList] )\n",
    "print(\"here are your HD pops\")\n",
    "plt.show()\n",
    "origHDHDtractList = [HDtractList[t].copy() for t in range(nHDs)] #save for posterity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "b7f36a0f-a3c6-4b07-aecd-9e010b02918f",
   "metadata": {},
   "outputs": [],
   "source": [
    "DATE = \"12May\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "37c238bb-b340-431b-ad11-95e4409d9699",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we will write the polygon-based results to a file\n"
     ]
    }
   ],
   "source": [
    "#last block of option 2 (i.e. generating polygonal HDs from scratch)\n",
    "print(\"Now we will write the polygon-based results to a file\")\n",
    "tractNo = [t for t in range(nHDs) ]\n",
    "HDangle0 = [HDangle[t][0] for t in range(nHDs) ]\n",
    "HDangle1 = [HDangle[t][1] for t in range(nHDs) ]\n",
    "HDangle2 = [HDangle[t][2] for t in range(nHDs) ]\n",
    "HDangle3 = [HDangle[t][3] for t in range(nHDs) ]\n",
    "HDradius0 = [HDradius[t][0] for t in range(nHDs)]\n",
    "HDradius1 = [HDradius[t][1] for t in range(nHDs)]\n",
    "HDradius2 = [HDradius[t][2] for t in range(nHDs)]\n",
    "HDradius3 = [HDradius[t][3] for t in range(nHDs)]\n",
    "hdCPx, hdCPy =   [hdCP[t].x for t in range(nHDs)], [hdCP[t].y for t in range(nHDs)]\n",
    "\n",
    "paramList = [\"STATE\",\"statePop\",\"nDistricts\",\"nHDs\",\"nWedges\",\"popn-toler\",\"levelL\", \"maxAngleRatio\",\n",
    "             \"maxAngle\",\"minAdjRatio\",\"maxUncap\", \"oppWt\", \"calc sec\",\"xScale\",\"outputs...\"]\n",
    "paramValues = [STATE,statePop, nDistricts, nHDs, nWedges, tolerPop, levelL, maxAngleRatio, maxAngle, minAdjRatio, maxUncap,\n",
    "               oppWt, totalTime, xScale, -777]\n",
    "for i in range(nHDs-len(paramList)):\n",
    "    paramList.append(\".\")\n",
    "    paramValues.append(-99)  #so all columns have same number of entries, even the parameter list\n",
    "HDdf = pd.DataFrame( {\"paramList\": paramList,\"paramValues\":paramValues,\"countyNo\":HDcountyNo,\n",
    "                    \"tractNo\":tractNo,\"centroid x\":hdCPx,\"centroid y\":hdCPy,\"tractPop\":hdCPpop,\n",
    "                    \"HDweight\":HDweight,\"HD-pop\":HDvPop,\"HDarea\":HDarea, \"countyNo\":countyNo,\n",
    "                    \"startAngle\":angle0,\"HDangle0\":HDangle0,\"HDangle1\":HDangle1,\"HDangle2\":HDangle2,\"HDangle3\":HDangle3,\n",
    "                    \"HDradius0\":HDradius0,\"HDradius1\":HDradius1,\"HDradius2\":HDradius2, \"HDradius3\":HDradius3,\"tractUse\":tractUse,\n",
    "                    \"splitTractNo\":splitTractNo,\"splitTractUse\":splitTractUse,\"HDtractList\":HDtractList} ) \n",
    "\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Bnopatch\"+str(int(nDistricts))+\"nW4.csv\"  #solveWedgeB\n",
    "outname = STATE+str(int(nHDs))+\"convexHD2_\"+str(int(nDistricts))+\"nW4_\"+DATE+\".csv\"  #solveWedgeC\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Buutpatch\"+str(int(nDistricts))+\"nW4.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "HDdf.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "075013a3-f3ee-4a44-ac4a-27a7492e027a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./2024state_HD_output/TX9007convexHD2_37nW4_12May.csv\n"
     ]
    }
   ],
   "source": [
    "print(\"./\"+outpath)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "6e7e8ccd-8e11-4d6d-970d-b059401e0a3b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the original HD polygon shape assignment csv, e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv ./2024state_HD_output/TX9007convexHD2_37nW4_12May.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I have read back in the original HD shapes\n",
      "Ready to capture unit centroids based on these HD poly shapes; see next block\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 --> 1 - we already have an ensemble of HDpoly's and their weights (from running option 2 above)\n",
    "#read them in\n",
    "#determine each cluster's required area fraction capture to get 1.00 cluster use across the HD set\n",
    "#then determine total pop (including cluster in/out) for each HD, and total unit use\n",
    "#then move into triage\n",
    "infilename = input(\"enter the original HD polygon shape assignment csv, \"+ \n",
    "                   \"e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv\")\n",
    "shapeDF = pd.read_csv(infilename)\n",
    "HDvPop = shapeDF[\"HD-pop\"].to_list()\n",
    "HDweight = shapeDF['HDweight'].to_list() #shapeDF['HDwt'].to_list() or #shapeDF['HDweight'].to_list()\n",
    "HDarea = shapeDF['HDarea'].to_list()\n",
    "#tractPop = shapeDF['tractPop'].to_list()   #we will use vtd-mapped pops instead\n",
    "nHDs = len(shapeDF)\n",
    "hdCPx = shapeDF['centroid x'].to_list()   #note: these may be translated from outcroppings into a convex representation of the map\n",
    "hdCPy = shapeDF['centroid y'].to_list()\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs) ]\n",
    "HDradius0 = shapeDF['HDradius0'].to_list()\n",
    "HDradius1 = shapeDF['HDradius1'].to_list()\n",
    "HDradius2 = shapeDF['HDradius2'].to_list()\n",
    "HDradius3 = shapeDF['HDradius3'].to_list()\n",
    "HDangle0 = shapeDF['HDangle0'].to_list()\n",
    "HDangle1 = shapeDF['HDangle1'].to_list()\n",
    "HDangle2 = shapeDF['HDangle2'].to_list()\n",
    "HDangle3 = shapeDF['HDangle3'].to_list()\n",
    "HDradius, HDangle = list(), list()\n",
    "for t in range(nHDs):\n",
    "    HDradius.append( [HDradius0[t],HDradius1[t],HDradius2[t],HDradius3[t] ] )\n",
    "    HDangle.append(  [HDangle0[t], HDangle1[t], HDangle2[t], HDangle3[t]  ] )\n",
    "print(\"I have read back in the original HD shapes\")\n",
    "popHDlist = list()\n",
    "HDpoly = [dummyPoly for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    if HDweight[t] > 0.000001:\n",
    "        popHDlist.append(t)\n",
    "        HDpoly[t] = buildArcPoly(hdCP[t],HDradius[t], HDangle[t], xScale)\n",
    "if \"countyNo\" in shapeDF.columns.values:  #\"pigs\" == \"can fly\":\n",
    "    HDcountyNo = shapeDF['countyNo'].to_list()\n",
    "else:\n",
    "    print(\"County numbers not in input file. Now I will assign each HD center to a county based on the county geoms\")\n",
    "    HDcountyNo = [-999]*nHDs\n",
    "    for t in popHDlist:\n",
    "        for c, geom in enumerate(countyGeom):\n",
    "            if geom.contains(hdCP[t]):\n",
    "                HDcountyNo[t] = c\n",
    "                break\n",
    "    unassignedList = list()\n",
    "    for t in popHDlist:\n",
    "        if HDcountyNo[t] == -999:\n",
    "            unassignedList.append(t)\n",
    "    if len(unassignedList) > 0:\n",
    "        print(\"I found\",len(unassignedList),\"populd HDs whose centers fall outside vtd-based county lines.  Assign to closest county\")\n",
    "        for t in unassignedList:\n",
    "            minDist = maxD\n",
    "            for c in range(nCounties):\n",
    "                dist = countyGeom[c].distance(hdCP[t])\n",
    "                if dist < minDist:\n",
    "                    minDist = dist\n",
    "                    HDcountyNo[t] = c\n",
    "    if len(unassignedList) > 0:\n",
    "        if len(unassignedList) > 20:\n",
    "            print(\"  (too many to plot individually)\")\n",
    "        else:\n",
    "            print(\"FYI, here are those manually assigned HDcenters to their counties\")\n",
    "            for t in unassignedList:\n",
    "                print(t,HDweight[t],\" is the HD row and its weight in the ensemble\")\n",
    "                plotPoly(hdCP[t].buffer(0.1))\n",
    "                plotCenter(int(HDvPop[t]),hdCP[t],6)\n",
    "                plotPoly(countyGeom[HDcountyNo[t]])\n",
    "                plotPoly(MAP,0.2)\n",
    "                plt.show()\n",
    "print(\"Ready to capture unit centroids based on these HD poly shapes; see next block\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "3f0f8434-5f7a-41d1-bd86-07ec230b4aef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now, let me renormalize the HDweights if there were cut districts\n",
      "our HDweight sum was 0.9738020665620359 but is now 0.9999999999999998\n"
     ]
    }
   ],
   "source": [
    "print(\"now, let me renormalize the HDweights if there were cut districts\")\n",
    "sumWt = np.sum(HDweight)\n",
    "HDweight = [HDweight[t]/sumWt for t in range(nHDs) ]\n",
    "\n",
    "print(\"our HDweight sum was\",sumWt,\"but is now\",np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af22eba0-8e05-43e7-b96b-6aedab016957",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see early states for continuing w/option 1.  NC and later use option 3 ....\n",
    "#if this is a cold restart, would need to read in unit topology before below block"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "8d5f678f-c2df-4ee7-bafe-fd75ba2cb42e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lead = 'option3' - create HDunitLists based on each HD's tractList, with in-out for multiVTD units\n"
     ]
    }
   ],
   "source": [
    "#OPTION 3 \n",
    "print(\"lead = 'option3' - create HDunitLists based on each HD's tractList, with in-out for multiVTD units\")\n",
    "HDtractListString = shapeDF[\"HDtractList\"]\n",
    "HDtractList = [ast.literal_eval(HDtractListString[t]) for t in range(nHDs)]\n",
    "nCCBs = len(CCBlist)\n",
    "CCBpopFrac = [[0. for j in range(nCCBs) ]  for t in range(nHDs)]\n",
    "\n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "              "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "ec034144-b3dc-4b72-9350-6d85cabcb8a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\n",
      "working on vtd --> unit conversion for HD 1 last HD had pop 788215.0\n",
      "working on vtd --> unit conversion for HD 1001 last HD had pop 780240.129\n",
      "working on vtd --> unit conversion for HD 2001 last HD had pop 796067.0\n",
      "working on vtd --> unit conversion for HD 3001 last HD had pop 785349.0\n",
      "working on vtd --> unit conversion for HD 4001 last HD had pop 795847.0\n",
      "working on vtd --> unit conversion for HD 5001 last HD had pop 788089\n",
      "working on vtd --> unit conversion for HD 6001 last HD had pop 786955\n",
      "working on vtd --> unit conversion for HD 7001 last HD had pop 794951\n",
      "working on vtd --> unit conversion for HD 8001 last HD had pop 785272\n",
      "working on vtd --> unit conversion for HD 9001 last HD had pop 745799.431\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\" )\n",
    "HDunitList = [ list() for t in range(nHDs) ]\n",
    "for t in range(nHDs):\n",
    "    if t %1000 == 1:\n",
    "        print(\"working on vtd --> unit conversion for HD\",t,\"last HD had pop\",r3( np.sum([unitPop[u] for u in HDunitList[t-1]]) ) )\n",
    "    capturedCountyPop = [0. for c in range(nCounties)]\n",
    "    capturedCCBpop = [0. for i in range(nCCBs)]\n",
    "    for v in HDtractList[t]:\n",
    "        c = HDcountyNo[v]\n",
    "        if c in range(nCounties):  #we assigned countyno = -999 to unpopulated tracts\n",
    "            if c in unitCounties:\n",
    "                capturedCountyPop[c] += tractPop[v]\n",
    "            elif c in allFusedCounties:\n",
    "                for i, L in enumerate(CCBlist):\n",
    "                    if c in L:\n",
    "                        capturedCCBpop[i] += tractPop[v]\n",
    "            else:  #this vtd not part of a unit or fused county.  Could be split into fragments\n",
    "                for u in countyUnitList[c]:\n",
    "                    if unitParentVTDno[u] == v :  #we assign all units = vtd fragments from this HDTL-captured vtd\n",
    "                        HDunitList[t].append(u)\n",
    "    for c in unitCounties:\n",
    "        if capturedCountyPop[c] > 0.5 * countyPop[c]:\n",
    "            HDunitList[t].append(allUnits.index(c+0.5))\n",
    "    for i in range(nCCBs):  #don't yet assign in/out CCBs.  We'll do so in below block.  Just update max possible use for each CCB\n",
    "        CCBpopFrac[t][i] = capturedCCBpop[i] / CCBpop[i]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "1494814c-7b90-425c-b8b1-3a2006bdeb2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\n",
      "CCBno 0 with pop 174608.0 would be used 2.015 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 1 with pop 232129.0 would be used 1.76 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if we are not allowed to use multiple CCB's in a single HD 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CCBno 0 with pop 174608.0 would be used 2.0152818236293264 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 1 with pop 232129.0 would be used 1.3714479056462612 if we added it to all adjoining districts with no 2-CCB districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\")\n",
    "CCBwouldUse = [0. for i in range(nCCBs)]\n",
    "CCBaddCandidates = [list() for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    jNo = allUnits.index(j+0.25)\n",
    "    ccbNbrSet = set(unitNbrs[jNo])\n",
    "    withCCBpopRat = list()\n",
    "    for t in range(nHDs):\n",
    "        if len(ccbNbrSet.intersection(set(HDunitList[t]))) > 0:\n",
    "            CCBwouldUse[j] += HDweight[t] * nDistricts\n",
    "            CCBaddCandidates[j].append(t)\n",
    "            withCCBpopRat.append((np.sum([unitPop[u] for u in HDunitList[t]]) + CCBpop[j]) / aDP )\n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",r3(CCBwouldUse[j]),\"if we added it to all adjoining districts\")\n",
    "    print(\"Here is the histogram of relative district pop with these added\")\n",
    "    plt.hist(withCCBpopRat,histtype=\"step\",label=\"CCB \"+str(j))\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "avoidMultiCCBuse = int(input(\"enter 1 if we are not allowed to use multiple CCB's in a single HD\"))  #option by state\n",
    "if avoidMultiCCBuse == 1:\n",
    "    for j in range(nCCBs):  #this block -- preventing HDs from picking up multiple CCB's; instead, pick up the closest one  \n",
    "        jNo = allUnits.index(j+0.25)\n",
    "        for jj in range(j+1, nCCBs):\n",
    "            jjNo = allUnits.index(j+0.25)\n",
    "            for t in CCBaddCandidates[j].copy():\n",
    "                if t in CCBaddCandidates[j]:\n",
    "                    if t in CCBaddCandidates[jj].copy():\n",
    "                        dist_j, dist_jj = hdCP[t].distance(unitCP[jNo]), hdCP[t].distance(unitCP[jjNo])\n",
    "                        if dist_j > dist_jj:\n",
    "                            CCBaddCandidates[j].remove(t)  #for MN, don't allow any districts with two CCB's\n",
    "                            CCBwouldUse[j] -= HDweight[t] * nDistricts\n",
    "                        else:\n",
    "                            CCBaddCandidates[jj].remove(t)\n",
    "                            CCBwouldUse[jj] -= HDweight[t] * nDistricts\n",
    "for j in range(nCCBs):    \n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",CCBwouldUse[j],\"if we added it to all adjoining districts with no 2-CCB districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "0d38eb0e-b516-4fd4-bb9e-6ca0eecfa772",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\n",
      "For PA, I recommend CCBuse of 1.03, 1.03, 1.01 to account for later shedding\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 0 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 0 is 1.02382 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 1 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 1 is 1.02011 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\")\n",
    "print(\"For PA, I recommend CCBuse of 1.03, 1.03, 1.01 to account for later shedding\")\n",
    "#previously, we went from most-used to least-used CCB vtds until each has unit use\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "CCBuse = [0. for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    minCCBuse = float(input(\"enter target CCBuse for CCB \"+str(j)+\" I reco 1.02, as we may lose a little later\"))\n",
    "    postCCBaddPops = list()\n",
    "    unitNo = allUnits.index(j+0.25)\n",
    "    #ccbNbrSet = set(unitNbrs[unitNo])\n",
    "    #ccbFrac = [-1.*CCBpopFrac[t][j] for t in range(nHDs) ]  # -1 to go from most- to least-used\n",
    "    #idx = np.argsort(ccbFrac)\n",
    "    preCCBpop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in CCBaddCandidates[j]]\n",
    "    idx = np.argsort(preCCBpop)\n",
    "    i = 0\n",
    "    t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "    while CCBuse[j] < minCCBuse  and i < len(CCBaddCandidates[j]) :  #and CCBpopFrac[t][j] > 0:\n",
    "        t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "        CCBuse[j] += HDweight[t] * nDistricts\n",
    "        HDunitList[t].append(unitNo)\n",
    "        postCCBaddPops.append(np.sum([unitPop[u] for u in HDunitList[t] ]))\n",
    "        i +=1\n",
    "    unitUse[unitNo] = CCBuse[j]\n",
    "    print(\"final unit use of CCB\",j, \"is\",r5(CCBuse[j]),\"; here is a histogram of HDpop using this CCB\")\n",
    "    plt.hist(postCCBaddPops)\n",
    "    plt.axvline(aDP,ls=\"--\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf747d9c-cf6d-420e-9c3c-6723619586ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "#end of preliminaries for \"option 3\" - converting HDtractlists to unit lists instead of option 2's geometric probing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26102ca2-79c1-48db-b873-7fa3a1553911",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "dc26d08c-a5d9-4e7e-9da5-ae98cf658a3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the histogram of HD pops relative to aDP\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "orig unit avg and sd usage are 1.02979 0.15306\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs) ]\n",
    "print(\"Here is the histogram of HD pops relative to aDP\")\n",
    "plt.hist([HDvPop[t] / aDP for t in range(nHDs) ], bins=20, weights = HDweight, label= \"HDpop / target\" )\n",
    "plt.show()\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53e4c298-e6cb-4fee-a511-b8f6c3940539",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "c4183011-724a-4014-8c94-f9f9382c7e75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Did I grossly overuse any units, or skip any live ones?\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "above: underused < 0.5; below overused > 1.6\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Did I grossly overuse any units, or skip any live ones?\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < 0.5 and unitPop[u] > 5:\n",
    "        plotPoly(unitGeom[u])\n",
    "        #print(u,unitPop[u], unitUse[u])\n",
    "        #for c in range(nCounties):\n",
    "        #    if u in countyUnitList[c]:\n",
    "        #        print(u,\"is in county\",c)\n",
    "        #        print(\"its neighbor units are\",unitNbrs[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"above: underused < 0.5; below overused > 1.6\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 1.6:\n",
    "        plotPoly(unitGeom[u],0.3)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "ce9292b0-7d6a-419a-9491-d0def779ad04",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are a total of 8814 populated HDs out of 9007\n"
     ]
    }
   ],
   "source": [
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if len(HDunitList[t]) > 0:\n",
    "        popHDlist.append(t)\n",
    "populatedTractList = popHDlist.copy()\n",
    "print(\"there are a total of\",len(populatedTractList),\"populated HDs out of\",nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "f7f36559-7f1d-4203-8b24-0e8cc2ce1753",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this will show if we had any duplicated units in HDunitLists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this will show if we had any duplicated units in HDunitLists\")\n",
    "excess = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    excess[t] = len(HDunitList[t]) - len(set(HDunitList[t]))\n",
    "plt.hist(excess)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "27bc7f0a-d7ff-4c68-830f-29ba5013c314",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#popHDlist = populatedTractList.copy()  #somehow our popHDlist started to include the cut District HD starters\n",
    "HDunitList = [list(set(HDunitList[t])) for t in range(nHDs)]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs)]\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "af8a4945-40c2-40df-8dd4-d516f4de2f0f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 700 time is now 78\n",
      "working on HD 1401 time is now 138\n",
      "working on HD 2280 time is now 222\n",
      "working on HD 2992 time is now 290\n",
      "working on HD 3692 time is now 351\n",
      "working on HD 4392 time is now 397\n",
      "working on HD 5092 time is now 448\n",
      "working on HD 5792 time is now 511\n",
      "working on HD 6492 time is now 561\n",
      "working on HD 7192 time is now 598\n",
      "working on HD 7892 time is now 665\n",
      "working on HD 8593 time is now 743\n",
      "out of 8814 total HDs, there were 7625.0 contiguous and 1194.0 complement-contiguous HDs\n",
      "988 HDs had both discontiguity problems, while enclave-only = 6632 and discontig only= 201\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 1189 6632\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "40f06e44-45be-4a36-b62c-26698af70e06",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 728725 district pop vs 767079 target\n",
      "we'll also trim any HD with total islands' pop <= 15341\n",
      "working on HD 5\n",
      "working on HD 1385\n",
      "working on HD 2938\n",
      "working on HD 4539\n",
      "working on HD 6220\n",
      "working on HD 7881\n",
      "Out of 1189 discontig HDs 1189 had discontig HDs.\n",
      "Of these, 1009 won't be under 728725 after all minor discontigys were shed, while 180 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "reclassifying HD 5\n",
      "reclassifying HD 3834\n",
      "reclassifying HD 7881\n",
      "There are 180 HDs still with both discontinuity problems\n",
      "Additionally, 875 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%200 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for i, t in enumerate(sPgenerator):    \n",
    "    if i%500 == 0:\n",
    "        print(\"reclassifying HD\",t)\n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "4037f8cb-661b-4032-bfb9-e147975e3bbb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classify further: ID those with adjoiners intersecting the map boundary vs internal islands\n",
      "working on enclave-generating HD 0\n",
      "working on enclave-generating HD 979\n",
      "working on enclave-generating HD 1951\n",
      "working on enclave-generating HD 2727\n",
      "working on enclave-generating HD 3390\n",
      "working on enclave-generating HD 3985\n",
      "working on enclave-generating HD 4633\n",
      "working on enclave-generating HD 5218\n",
      "working on enclave-generating HD 5779\n",
      "working on enclave-generating HD 6350\n",
      "working on enclave-generating HD 6897\n",
      "working on enclave-generating HD 7454\n",
      "working on enclave-generating HD 8088\n",
      "working on enclave-generating HD 8741\n",
      "working on enclave-generating HD 4692\n",
      "working on enclave-generating HD 8925\n",
      "Out of 7507 HDpolys that generated enclaves, 0 had contiguous adjrs, while 2825 neighbored a state boundary while 4682 had only internal enclaves\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to print the total enclave pops for all enclavy HDs.  This takes a few min; not required 0\n"
     ]
    }
   ],
   "source": [
    "print(\"Classify further: ID those with adjoiners intersecting the map boundary vs internal islands\")\n",
    "internals, edgers, nOK = list(), list(), 0\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(eLgenerator):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on enclave-generating HD\",t,int(time.time()-startTime),\"seconds elapsed\")\n",
    "    twoNbrs = get2nbrs(HDunitList[t],unitNbrs)\n",
    "    isContig, adjSublist = isContiguous(twoNbrs,unitNbrs)\n",
    "    if isContig:\n",
    "        nOK +=1\n",
    "    else:\n",
    "        if len (set(getAdjoiners(HDunitList[t],unitNbrs)).intersection(set(borderUnits)))  > 0:\n",
    "            edgers.append(t)\n",
    "        else:\n",
    "            internals.append(t)\n",
    "print(\"Out of\",len(eLgenerator),\"HDpolys that generated enclaves,\",nOK,\"had contiguous adjrs, while\",len(edgers),\n",
    "      \"neighbored a state boundary while\",len(internals),\"had only internal enclaves\")   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "05f929ce-4f94-47a6-baf4-60c5a89e2ae5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 805433 district pop vs 767079 target\n",
      "working on enclave-y HD 18 . We have evaluated 0 of 7507 enclavy HDs.Time is now 0\n",
      "working on enclave-y HD 1100 . We have evaluated 200 of 7507 enclavy HDs.Time is now 49\n",
      "working on enclave-y HD 2234 . We have evaluated 400 of 7507 enclavy HDs.Time is now 90\n",
      "working on enclave-y HD 2786 . We have evaluated 600 of 7507 enclavy HDs.Time is now 120\n",
      "working on enclave-y HD 3508 . We have evaluated 800 of 7507 enclavy HDs.Time is now 143\n",
      "working on enclave-y HD 4274 . We have evaluated 1000 of 7507 enclavy HDs.Time is now 164\n",
      "working on enclave-y HD 4633 . We have evaluated 1200 of 7507 enclavy HDs.Time is now 181\n",
      "working on enclave-y HD 4895 . We have evaluated 1400 of 7507 enclavy HDs.Time is now 199\n",
      "working on enclave-y HD 5134 . We have evaluated 1600 of 7507 enclavy HDs.Time is now 220\n",
      "working on enclave-y HD 5361 . We have evaluated 1800 of 7507 enclavy HDs.Time is now 236\n",
      "working on enclave-y HD 5589 . We have evaluated 2000 of 7507 enclavy HDs.Time is now 256\n",
      "working on enclave-y HD 5840 . We have evaluated 2200 of 7507 enclavy HDs.Time is now 278\n",
      "working on enclave-y HD 6085 . We have evaluated 2400 of 7507 enclavy HDs.Time is now 295\n",
      "working on enclave-y HD 6325 . We have evaluated 2600 of 7507 enclavy HDs.Time is now 311\n",
      "working on enclave-y HD 6589 . We have evaluated 2800 of 7507 enclavy HDs.Time is now 324\n",
      "working on enclave-y HD 6829 . We have evaluated 3000 of 7507 enclavy HDs.Time is now 335\n",
      "working on enclave-y HD 7084 . We have evaluated 3200 of 7507 enclavy HDs.Time is now 347\n",
      "working on enclave-y HD 7328 . We have evaluated 3400 of 7507 enclavy HDs.Time is now 359\n",
      "working on enclave-y HD 7615 . We have evaluated 3600 of 7507 enclavy HDs.Time is now 375\n",
      "working on enclave-y HD 7909 . We have evaluated 3800 of 7507 enclavy HDs.Time is now 397\n",
      "working on enclave-y HD 8304 . We have evaluated 4000 of 7507 enclavy HDs.Time is now 418\n",
      "working on enclave-y HD 8810 . We have evaluated 4200 of 7507 enclavy HDs.Time is now 448\n",
      "working on enclave-y HD 5468 . We have evaluated 4400 of 7507 enclavy HDs.Time is now 473\n",
      "working on enclave-y HD 7718 . We have evaluated 4600 of 7507 enclavy HDs.Time is now 488\n",
      "working on enclave-y HD 249 . We have evaluated 4800 of 7507 enclavy HDs.Time is now 510\n",
      "working on enclave-y HD 972 . We have evaluated 5000 of 7507 enclavy HDs.Time is now 545\n",
      "working on enclave-y HD 1386 . We have evaluated 5200 of 7507 enclavy HDs.Time is now 565\n",
      "working on enclave-y HD 2051 . We have evaluated 5400 of 7507 enclavy HDs.Time is now 598\n",
      "working on enclave-y HD 2649 . We have evaluated 5600 of 7507 enclavy HDs.Time is now 631\n",
      "working on enclave-y HD 3204 . We have evaluated 5800 of 7507 enclavy HDs.Time is now 649\n",
      "working on enclave-y HD 3593 . We have evaluated 6000 of 7507 enclavy HDs.Time is now 666\n",
      "working on enclave-y HD 3954 . We have evaluated 6200 of 7507 enclavy HDs.Time is now 685\n",
      "working on enclave-y HD 4354 . We have evaluated 6400 of 7507 enclavy HDs.Time is now 726\n",
      "working on enclave-y HD 6625 . We have evaluated 6600 of 7507 enclavy HDs.Time is now 772\n",
      "working on enclave-y HD 8126 . We have evaluated 6800 of 7507 enclavy HDs.Time is now 801\n",
      "working on enclave-y HD 8630 . We have evaluated 7000 of 7507 enclavy HDs.Time is now 829\n",
      "working on enclave-y HD 1382 . We have evaluated 7200 of 7507 enclavy HDs.Time is now 859\n",
      "working on enclave-y HD 7552 . We have evaluated 7400 of 7507 enclavy HDs.Time is now 891\n",
      "Out of 7507 HDs with enclaves 7507 had enclaves.\n",
      "Of these, 6970 wouldn't be over 805433 if all enclaves filled, while 537 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"CANFILL\" CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(internals + edgers):\n",
    "    if iii%200 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "8987ad1f-d372-415d-a2ec-8fc6736c5102",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4682 2825 988 395\n",
      "525 537 6970\n"
     ]
    }
   ],
   "source": [
    "print(len(internals),len(edgers),len(doubleTroubleList),len(set(edgers).intersection(set(doubleTroubleList))))\n",
    "print(len(set(edgers).difference(set(canFill))) ,len(cantFill) , len(canFill))\n",
    "#610 3379 2187 1954\n",
    "#80 80 3909  for original MN option3 (assigned CCBs by captured area)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "8fa887be-92e6-422a-8e80-e00fd3265aab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.03375 0.15211\n",
      "CCB cluster 0 = unit 8018 with pop 174608.0 now has use of 1.0238243647292717\n",
      "CCB cluster 1 = unit 8019 with pop 232129.0 now has use of 1.0201076719421227\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "e9d50ef8-39b2-4e22-a11e-cabeda78721e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "b759b3c7-b8a3-4d2c-a8fe-50fa93b3e940",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping\n",
    "HDunitList = [savedHDunitList[t].copy() for t in range(nHDs) ]   #restart\n",
    "HDvPop = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "plt.axvline(aDP, ls=\"--\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "551454fb-d57c-466f-8b31-39ccb2a728de",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the HD centers for 537 cantFill HDs with border or big enclaves\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here are the HD centers for\",len(cantFill),\"cantFill HDs with border or big enclaves\")\n",
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.02))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "5269a224-4a97-417c-99af-6a98df0087ae",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the barredJettisonSet (cannot be shed in below MUSTFREE code) is {8018, 8019}\n",
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 800\n",
      "working on avg unit-to-HDcp dist for HD 1780\n",
      "working on avg unit-to-HDcp dist for HD 2592\n",
      "working on avg unit-to-HDcp dist for HD 3392\n",
      "working on avg unit-to-HDcp dist for HD 4192\n",
      "working on avg unit-to-HDcp dist for HD 4992\n",
      "working on avg unit-to-HDcp dist for HD 5792\n",
      "working on avg unit-to-HDcp dist for HD 6592\n",
      "working on avg unit-to-HDcp dist for HD 7392\n",
      "working on avg unit-to-HDcp dist for HD 8193\n",
      "working on avg unit-to-HDcp dist for HD 8993\n",
      "all unit-toHDcp distances computed\n"
     ]
    }
   ],
   "source": [
    "barredJettisonSet = set(list())\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u]% 1 > 0.23 and allUnits[u]%1 < 0.27:\n",
    "        barredJettisonSet.add(u)\n",
    "print(\"the barredJettisonSet (cannot be shed in below MUSTFREE code) is\",barredJettisonSet)\n",
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "print(\"all unit-toHDcp distances computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "6e2e44bd-a084-42f6-b533-5dc6d21912a9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this code will solve large enclaves so HD and complement are contiguous for 537 HDs\n",
      "working on HD 2733 cantFill 0 of 537 .Time is now 0\n",
      "working on HD 12 cantFill 20 of 537 .Time is now 1\n",
      "working on HD 223 cantFill 40 of 537 .Time is now 1\n",
      "working on HD 253 cantFill 60 of 537 .Time is now 2\n",
      "working on HD 978 cantFill 80 of 537 .Time is now 5\n",
      "working on HD 1314 cantFill 100 of 537 .Time is now 6\n",
      "working on HD 2092 cantFill 120 of 537 .Time is now 10\n",
      "working on HD 2850 cantFill 140 of 537 .Time is now 17\n",
      "working on HD 3198 cantFill 160 of 537 .Time is now 17\n",
      "working on HD 3222 cantFill 180 of 537 .Time is now 17\n",
      "working on HD 3263 cantFill 200 of 537 .Time is now 18\n",
      "working on HD 3666 cantFill 220 of 537 .Time is now 18\n",
      "working on HD 3725 cantFill 240 of 537 .Time is now 18\n",
      "working on HD 3895 cantFill 260 of 537 .Time is now 21\n",
      "working on HD 4000 cantFill 280 of 537 .Time is now 23\n",
      "working on HD 4177 cantFill 300 of 537 .Time is now 38\n",
      "working on HD 4354 cantFill 320 of 537 .Time is now 47\n",
      "working on HD 4442 cantFill 340 of 537 .Time is now 57\n",
      "working on HD 4577 cantFill 360 of 537 .Time is now 61\n",
      "working on HD 4654 cantFill 380 of 537 .Time is now 76\n",
      "working on HD 6360 cantFill 400 of 537 .Time is now 77\n",
      "working on HD 8553 cantFill 420 of 537 .Time is now 80\n",
      "working on HD 8926 cantFill 440 of 537 .Time is now 82\n",
      "working on HD 307 cantFill 460 of 537 .Time is now 86\n",
      "working on HD 3243 cantFill 480 of 537 .Time is now 86\n",
      "working on HD 6364 cantFill 500 of 537 .Time is now 98\n"
     ]
    },
    {
     "ename": "IndexError",
     "evalue": "list index out of range",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[90], line 72\u001b[0m\n\u001b[0;32m     70\u001b[0m HDender \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mset\u001b[39m(getAdjoiners(nonHDlongBorderSet,unitNbrs))\u001b[38;5;241m.\u001b[39mintersection(remainingHDborderSet) )[\u001b[38;5;241m0\u001b[39m]\n\u001b[0;32m     71\u001b[0m firstHDborderSet \u001b[38;5;241m=\u001b[39m getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n\u001b[1;32m---> 72\u001b[0m HDstarter \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mset\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mgetAdjoiners\u001b[49m\u001b[43m(\u001b[49m\u001b[43mremainingEnclBorderSet\u001b[49m\u001b[43m,\u001b[49m\u001b[43munitNbrs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mintersection\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfirstHDborderSet\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[0;32m     73\u001b[0m HDborderSublists \u001b[38;5;241m=\u001b[39m [ \u001b[38;5;28mlist\u001b[39m(firstHDborderSet) ]\n\u001b[0;32m     74\u001b[0m unused \u001b[38;5;241m=\u001b[39m [\u001b[38;5;241m1\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m eL \u001b[38;5;129;01min\u001b[39;00m edgeEnclaves]\n",
      "\u001b[1;31mIndexError\u001b[0m: list index out of range"
     ]
    }
   ],
   "source": [
    "#THIS IS THE MUSTFREE CODE - for high-pop HDs with map-border enclaves, can't fill; \n",
    "#  must jettison some inHD map-boundary units to connect the enclave to the larger complement\n",
    "#For each HD to be triaged, define the list(s) of contiguous enclave units that are on the map boundary, \n",
    "#  and the in-HD map-boundary segments.  ID which in-HD MBS's adjoin one vs. two enclaves.\n",
    "#     Fill all internal enclaves, and all boundary enclaves < 0.05 aDP.\n",
    "#   Then each loop, look for boundary enclaves that can be filled without overpopping.\n",
    "#     If none, pick the 1/2 has-1-boundary-enclave-neighbor that is least painful to jettison to free an enclave.\n",
    "#       (Jettison score based on pop-to-Free and distance from HDcP)\n",
    "#         Update HDpop, HDlist, and enclave & HD-boundary associations, then re-loop\n",
    "# Later, we will swell-fill to square up pop (w/ checkEnclave) biasing toward close-to-hdCP, underused\n",
    "borderSet = set(borderUnits)\n",
    "debug, debugPlot = False, False\n",
    "startTime = time.time()  #takes about 1.5sec per HD triage\n",
    "clusterJettisonBoost = 3.  #this discourages jettisoning of underused clusters\n",
    "print(\"this code will solve large enclaves so HD and complement are contiguous for\",len(cantFill),\"HDs\")\n",
    "nEnclavesPerHD = [0 for t in range(nHDs)]\n",
    "HDenclaveLists = [list() for t in range(nHDs)]\n",
    "for iii,t in enumerate(cantFill):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(cantFill),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    \n",
    "        \n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "92fb16fc-de53-41b6-8992-2f4e37ab9598",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "removing trouble border unit 1034 from HD 7589\n"
     ]
    }
   ],
   "source": [
    "#special for TX - apparently tripped up by queen adjacency near border for HD 7589, such that border enclave is non-enclave\n",
    "#simply remove border unit 1034 from this HDunitList, then continue cantFill with remaining HDs below\n",
    "t, troubleU = 7589, 1034\n",
    "if troubleU in HDunitList[t]:\n",
    "    print(\"removing trouble border unit\",troubleU,\"from HD\",t)\n",
    "    HDunitList[t].remove(troubleU)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66e91b98-63a9-47db-af63-039ac47b1835",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "1ad0dde0-cf24-4475-be92-c5baf6b2be22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "u = 1034\n",
    "plotPoly(unitGeom[u])\n",
    "for uu in unitNbrs[u]:\n",
    "    plotPoly(unitGeom[uu],0.2)\n",
    "    if uu in HDunitList[t]:\n",
    "        plotCenter(\"in\",unitCP[uu])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "367bc56f-6907-4f40-9cba-323c457aabaa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now for TX only, continue MUSTFILL for remaining HDs\n",
      "this code (repeat for TX only) will solve large enclaves so HD and complement are contiguous for 72 HDs\n",
      "working on HD 8188 cantFill 0 of 72 .Time is now 0\n",
      "working on HD 8658 cantFill 20 of 72 .Time is now 0\n",
      "working on HD 8940 cantFill 40 of 72 .Time is now 0\n",
      "working on HD 7995 cantFill 60 of 72 .Time is now 0\n",
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 1.03234 0.15087\n",
      "CCB cluster 0 = unit 8018 with pop 174608.0 now has use of 1.0238243647292717\n",
      "CCB cluster 1 = unit 8019 with pop 232129.0 now has use of 1.0201076719421227\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now for TX only, continue MUSTFREE for remaining HDs\")\n",
    "#THIS IS THE MUSTFREE CODE - for high-pop HDs with map-border enclaves, can't fill; \n",
    "#  must jettison some inHD map-boundary units to connect the enclave to the larger complement\n",
    "#For each HD to be triaged, define the list(s) of contiguous enclave units that are on the map boundary, \n",
    "#  and the in-HD map-boundary segments.  ID which in-HD MBS's adjoin one vs. two enclaves.\n",
    "#     Fill all internal enclaves, and all boundary enclaves < 0.05 aDP.\n",
    "#   Then each loop, look for boundary enclaves that can be filled without overpopping.\n",
    "#     If none, pick the 1/2 has-1-boundary-enclave-neighbor that is least painful to jettison to free an enclave.\n",
    "#       (Jettison score based on pop-to-Free and distance from HDcP)\n",
    "#         Update HDpop, HDlist, and enclave & HD-boundary associations, then re-loop\n",
    "# Later, we will swell-fill to square up pop (w/ checkEnclave) biasing toward close-to-hdCP, underused\n",
    "borderSet = set(borderUnits)\n",
    "debug, debugPlot = False, False\n",
    "startTime = time.time()  #takes about 1.5sec per HD triage\n",
    "clusterJettisonBoost = 3.  #this discourages jettisoning of underused clusters\n",
    "\n",
    "oldCantFill = cantFill.copy()  #TX only\n",
    "cantFill = list()\n",
    "for tt in oldCantFill:\n",
    "    if tt > t:\n",
    "        cantFill.append(tt)  #end of TX only\n",
    "print(\"this code (repeat for TX only) will solve large enclaves so HD and complement are contiguous for\",len(cantFill),\"HDs\")\n",
    "nEnclavesPerHD = [0 for t in range(nHDs)]\n",
    "HDenclaveLists = [list() for t in range(nHDs)]\n",
    "for iii,t in enumerate(cantFill):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(cantFill),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    \n",
    "        \n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "ca9ce3cb-c150-4f39-ae55-f781d39d7f57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "postMustFreeUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "c32dd108-073b-48aa-99ce-fea50c8d023c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([HDvPop[t] for t in popHDlist] )\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "f58fe2d0-3c62-412f-8984-ff5d67ea9b10",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After above work, re-classification of contiguity problems?\n",
      "working on HD 0\n",
      "working on HD 500\n",
      "working on HD 1000\n",
      "working on HD 1500\n",
      "working on HD 2000\n",
      "working on HD 2500\n",
      "working on HD 3000\n",
      "working on HD 3500\n",
      "working on HD 4000\n",
      "working on HD 4500\n",
      "working on HD 5000\n",
      "working on HD 5500\n",
      "working on HD 6000\n",
      "working on HD 6500\n",
      "working on HD 7000\n",
      "working on HD 7500\n",
      "working on HD 8000\n",
      "working on HD 8500\n",
      "working on HD 9000\n",
      "out of 8814 total HDs, there were 8538 164 1 111 HDs that were clean, discontig only, enclave-only, both problems after triage\n"
     ]
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"After above work, re-classification of contiguity problems?\")\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "1ef683a2-4429-4a91-b1ea-a9b0950dea22",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on current HD diam for HD number 0\n",
      "working on current HD diam for HD number 1000\n",
      "working on current HD diam for HD number 2180\n",
      "working on current HD diam for HD number 3192\n",
      "working on current HD diam for HD number 4192\n",
      "working on current HD diam for HD number 5192\n",
      "working on current HD diam for HD number 6192\n",
      "working on current HD diam for HD number 7192\n",
      "working on current HD diam for HD number 8193\n",
      "here is the histogram of HD diameter = sqrt(area)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDdiam = [0. for t in range(nHDs)]\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on current HD diam for HD number\",t)\n",
    "    HDdiam[t] = (HDpoly[t].intersection(MAP) ).area ** 0.5\n",
    "plt.hist([HDdiam[t] for t in popHDlist])\n",
    "print(\"here is the histogram of HD diameter = sqrt(area)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "45e3c17c-8c16-4bc5-b7fc-25b9250ed11a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we will regrow all disco'd HDs off by more than 38354 but less than 191769\n",
      "... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\n",
      "This is a total of 275 HDs to triage in this block\n",
      "working on swell-filling discontig HD 137 our 1 th HD we think we can swell out of 275 0.0 sec elapsed\n",
      "working on swell-filling discontig HD 2595 our 41 th HD we think we can swell out of 275 36.222 sec elapsed\n",
      "working on swell-filling discontig HD 4155 our 81 th HD we think we can swell out of 275 66.173 sec elapsed\n",
      "working on swell-filling discontig HD 4584 our 121 th HD we think we can swell out of 275 78.512 sec elapsed\n",
      "working on swell-filling discontig HD 8857 our 161 th HD we think we can swell out of 275 99.413 sec elapsed\n",
      "working on swell-filling discontig HD 2527 our 201 th HD we think we can swell out of 275 380.455 sec elapsed\n",
      "working on swell-filling discontig HD 4345 our 241 th HD we think we can swell out of 275 470.866 sec elapsed\n",
      "we partially regrew 231 HDs, leaving 45 to regrow from scratch\n"
     ]
    }
   ],
   "source": [
    "### THIS IS THE CANSWELL CODE\n",
    "print(\"Here, we will regrow all disco'd HDs off by more than\",int(aDP-minPostFixPop),\"but less than\",int(0.25*aDP) )\n",
    "print(\"... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\")\n",
    "HDnAddedUnits = [0 for t in range(nHDs)]\n",
    "maxGap = 0.9 * np.median(unitPop)  #set a reasonable gap prior to picking the last block\n",
    "HDdiam = [HDpoly[t].area ** 0.5 for t in range(nHDs) ] #in case not defined before\n",
    "badDiscoList = list()\n",
    "nCanSwell = 0\n",
    "triageList = discontigOnly + bothProblems\n",
    "print(\"This is a total of\",len(triageList),\"HDs to triage in this block\")\n",
    "startTime = time.time()\n",
    " \n",
    "for i,t in enumerate(triageList): #canSwell\n",
    "    if i%40 == 0:\n",
    "        SEC = r3(time.time()-startTime)\n",
    "        print(\"working on swell-filling discontig HD\",t,\"our\",i+1,\"th HD we think we can swell out of\",len(triageList),SEC,\"sec elapsed\" )\n",
    "    distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "    starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = getContigFromStarter(starterU, HDunitList[t], unitNbrs)\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    if contigPop < 0.50 * aDP or contigPop > 2.*aDP - minPostFixPop:  #formerly < 0.75 aDP\n",
    "        badDiscoList.append(t)\n",
    "    else: #rebuild from this big piece\n",
    "        nCanSwell +=1\n",
    "        gap = aDP - contigPop\n",
    "        origGap = gap\n",
    "        currList, addedList = contigUs.copy(), list()\n",
    "        adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "        nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "        nearHDscore = [ (unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] for uu in adjoiners ] \n",
    "        stillGoing = True\n",
    "\n",
    "        while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "            while i < len(nearHDscore) and notYetPicked:        \n",
    "                listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "                canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "                if canAdd:\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't add any more units without creating an enclave\n",
    "            else: #we selected the best unit to add legally\n",
    "                gap -= unitPop[unitNoToAdd]\n",
    "                addedList.append(unitNoToAdd)  #so add it to our growing HD ...\n",
    "                currList.append( unitNoToAdd)\n",
    "                for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                    if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append((unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "                            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] )\n",
    "                del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                for i, uu in enumerate(nearHDlist.copy()):\n",
    "                    if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                        del nearHDscore[nearHDlist.index(uu)]\n",
    "                        del nearHDlist[ nearHDlist.index(uu)]\n",
    "        for u in addedList:\n",
    "            unitUse[u] += HDweight[t] * nDistricts\n",
    "        for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "            unitUse[u] -= HDweight[t] * nDistricts       \n",
    "        HDunitList[t] = contigUs + addedList\n",
    "        HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "        HDnAddedUnits[t] = len(addedList)\n",
    "    \n",
    "badDiscoList += enclaveOnly\n",
    "print(\"we partially regrew\",nCanSwell,\"HDs, leaving\",len(badDiscoList),\"to regrow from scratch\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "f57325dd-523c-466a-80cb-8e10b739b4ac",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous avg use and its sd are 1.03234 0.15087\n",
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.03199 0.14551\n",
      "CCB cluster 0 = unit 8018 with pop 174608.0 now has use of 0.9697165660164773\n",
      "CCB cluster 1 = unit 8019 with pop 232129.0 now has use of 0.9926581162332484\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"previous avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "0ce918e1-0d30-4930-9fb8-0769d793683c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 1000 time is now 4\n",
      "working on HD 2180 time is now 9\n",
      "working on HD 3192 time is now 16\n",
      "working on HD 4192 time is now 20\n",
      "working on HD 5192 time is now 24\n",
      "working on HD 6192 time is now 28\n",
      "working on HD 7192 time is now 31\n",
      "working on HD 8193 time is now 35\n",
      "out of 8814 total HDs, there were 8770.0 contiguous and 8775.0 complement-contiguous HDs\n",
      "25 HDs had both discontiguity problems, while enclave-only = 14 and discontig only= 19\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 44 14\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "463db75a-694e-4c7d-9693-e10f3b4d65db",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 728725 district pop vs 767079 target\n",
      "we'll also trim any HD with total islands' pop <= 15341\n",
      "working on HD 676\n",
      "Out of 44 discontig HDs 44 had discontig HDs.\n",
      "Of these, 0 won't be under 728725 after all minor discontigys were shed, while 44 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "There are 44 HDs still with both discontinuity problems\n",
      "Additionally, 0 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%100 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for t in sPgenerator:    \n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "39d37c15-759f-462c-b503-047b6b5e1554",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "164 111 44\n",
      "{4096, 1031, 4105, 3082, 4106, 2087, 3111, 2092, 4151, 4152, 4153, 4155, 4157, 3137, 3138, 4164, 4169, 4176, 2128, 1113, 1115, 1119, 1121, 1122, 1125, 1131, 4207, 1137, 4211, 2172, 2181, 134, 137, 139, 8339, 4246, 4251, 3234, 3239, 176, 8375, 3270, 2251, 3278, 2255, 207, 209, 6360, 6368, 4332, 4335, 4336, 4339, 4340, 246, 2295, 4342, 4345, 4347, 4354, 4357, 4363, 4366, 4369, 2325, 1303, 1305, 2330, 2332, 2333, 1324, 1327, 1328, 2350, 3379, 8501, 4411, 4412, 8509, 8510, 8513, 8521, 8522, 8530, 4440, 1372, 1374, 8542, 8547, 8548, 8562, 4478, 4479, 4480, 4481, 386, 4483, 4484, 4485, 4486, 4487, 4489, 8614, 8615, 5544, 5548, 2478, 2480, 2510, 8659, 8660, 4566, 4567, 4568, 4569, 4570, 4571, 4573, 2526, 2527, 8672, 4579, 4581, 4584, 8682, 4586, 4587, 4588, 4589, 4590, 497, 4592, 4593, 4595, 4599, 4597, 4607, 4608, 8712, 2594, 2596, 2601, 2602, 4657, 4658, 4664, 4665, 4669, 4671, 4676, 2629, 2631, 4680, 4681, 4682, 4683, 4684, 4686, 4689, 4690, 4691, 4695, 4697, 2660, 2676, 8857, 8866, 8867, 679, 680, 681, 8883, 8885, 731, 8938, 1788, 1791, 1794, 2837, 1818, 2845, 1822, 1823, 3873, 2849, 1827, 2852, 1829, 2850, 1831, 2857, 1833, 1834, 2859, 1836, 3886, 1837, 2861, 2858, 9005, 2863, 820, 2868, 2874, 2881, 2883, 2884, 2885, 2899, 2915, 1910, 2936, 2937, 1917, 2943, 3970, 2946, 900, 1924, 903, 908, 1933, 910, 1946, 3998, 957, 8156, 4071, 4078, 4083, 4084}\n"
     ]
    }
   ],
   "source": [
    "print(len(discontigOnly),len(bothProblems), len(badDiscoList))\n",
    "print((set(discontigOnly).union(set(bothProblems)) ) .difference(set(badDiscoList)) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "2e54bac4-c327-473d-bbb4-257486bddd20",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\n",
      "Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\n",
      "This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is 44\n",
      "swell-generating HD 676 our 1 th HD we must regrow out of 44 0 sec elapsed\n",
      "swell-generating HD 2608 our 11 th HD we must regrow out of 44 72 sec elapsed\n",
      "swell-generating HD 4067 our 21 th HD we must regrow out of 44 130 sec elapsed\n",
      "swell-generating HD 8333 our 31 th HD we must regrow out of 44 134 sec elapsed\n",
      "swell-generating HD 8865 our 41 th HD we must regrow out of 44 220 sec elapsed\n"
     ]
    }
   ],
   "source": [
    "#THIS IS THE MUSTSPAWN code block\n",
    "print(\"And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\")\n",
    "print(\"Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\")\n",
    "print(\"This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is\",len(badDiscoList))\n",
    "avgDiam = MAP.area**0.5 / float(nDistricts)\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(badDiscoList):\n",
    "    if i%10 == 0:\n",
    "        print(\"swell-generating HD\",t,\"our\",i+1,\"th HD we must regrow out of\",len(badDiscoList),int(time.time()-startTime),\"sec elapsed\" )\n",
    "    notInCluster = True\n",
    "    for jj, geo in enumerate(CCBgeom):  #swell in-corner HDs from the corner cluster\n",
    "        if geo.contains(hdCP[t]):\n",
    "            starterU = allUnits.index(jj+0.25)\n",
    "            notInCluster = False\n",
    "    if notInCluster:\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = [starterU]  #we used getContigFromStarter(starterU, HDvtdList[t], unitNbrs) in above code block\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    gap = aDP - contigPop\n",
    "    origGap = gap\n",
    "    currList, addedList = contigUs.copy(), list()\n",
    "    adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "    nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "    nearHDscore = [ (0.2*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] for uu in adjoiners ]\n",
    "    stillGoing = True\n",
    "    \n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd:\n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else: #we selected the best unit to add legally\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((0.1*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "                                                                        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] )\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "        unitUse[u] -= HDweight[t] * nDistricts       \n",
    "    HDunitList[t] = contigUs + addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "b78199da-ac7c-4cfb-ac0b-26363a8a8c56",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prev avg use and its sd are 1.03199 0.14551\n",
      "defining and displaying current unit use after most recent manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.03169 0.14351\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"prev avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after most recent manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "a2242181-3a07-40b7-ae56-bbe47bd2dc79",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(not-so-)final check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 500 time is now 2 sec\n",
      "working on HD 1000 time is now 4 sec\n",
      "working on HD 1501 time is now 17 sec\n",
      "working on HD 2180 time is now 20 sec\n",
      "working on HD 2692 time is now 29 sec\n",
      "working on HD 3192 time is now 46 sec\n",
      "working on HD 3692 time is now 47 sec\n",
      "working on HD 4192 time is now 52 sec\n",
      "working on HD 4692 time is now 57 sec\n",
      "working on HD 5192 time is now 59 sec\n",
      "working on HD 5692 time is now 61 sec\n",
      "working on HD 6192 time is now 63 sec\n",
      "working on HD 6692 time is now 65 sec\n",
      "working on HD 7192 time is now 66 sec\n",
      "working on HD 7692 time is now 71 sec\n",
      "working on HD 8193 time is now 74 sec\n",
      "working on HD 8693 time is now 82 sec\n",
      "out of 8814 total HDs, there were 8800 0 14 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 84 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"(not-so-)final check -- any more disco's ?\")\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "623fb818-67d9-458d-b854-4c70dfa449ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 805433 district pop vs 767079 target\n",
      "working on enclave-y HD 1137 . We have evaluated 0 of 7507 enclavy HDs.Time is now 0\n",
      "Out of 7507 HDs with enclaves 14 had enclaves.\n",
      "Of these, 11 wouldn't be over 805433 if all enclaves filled, while 3 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#OPTIONAL if still enclaves -- rerun the CANFILL CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(enclaveOnly):  #internals + edgers):\n",
    "    if iii%100 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "e262f9ab-1aee-4b76-bd8b-a60d62e650ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2857 643638.0 824074\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3886 657066.0 1196221\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7589 796343.7427289063 39526.25727109369\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#run this if we have some stubborn border enclaves  ***  #not needed for TN; see PA for special triage\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.2))\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    for u in enclaveList:\n",
    "        plotPoly(unitCP[u].buffer(0.01))\n",
    "    for u in borderUnits:\n",
    "        plotPoly(unitGeom[u], 0.2)\n",
    "    print(t,HDvPop[t], totalEnclavePop[t])\n",
    "    for u in HDunitList[t]:\n",
    "        plotPoly(unitGeom[u])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "6e198b1f-0f11-4427-b0e9-3f50c2aaf707",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for all three of these stubborn TX cantFill, try to rerun the MUSTFREE code\n",
      "this code (repeat for TX only) will solve large enclaves so HD and complement are contiguous for 3 HDs\n",
      "working on HD 2857 cantFill 0 of 3 .Time is now 0\n",
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 1.03177 0.14335\n",
      "CCB cluster 0 = unit 8018 with pop 174608.0 now has use of 0.9639153443739784\n",
      "CCB cluster 1 = unit 8019 with pop 232129.0 now has use of 0.9386858966330036\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"for all three of these stubborn TX cantFill, try to rerun the MUSTFREE code\")\n",
    "#THIS IS THE MUSTFREE CODE - for high-pop HDs with map-border enclaves, can't fill; \n",
    "#  must jettison some inHD map-boundary units to connect the enclave to the larger complement\n",
    "#For each HD to be triaged, define the list(s) of contiguous enclave units that are on the map boundary, \n",
    "#  and the in-HD map-boundary segments.  ID which in-HD MBS's adjoin one vs. two enclaves.\n",
    "#     Fill all internal enclaves, and all boundary enclaves < 0.05 aDP.\n",
    "#   Then each loop, look for boundary enclaves that can be filled without overpopping.\n",
    "#     If none, pick the 1/2 has-1-boundary-enclave-neighbor that is least painful to jettison to free an enclave.\n",
    "#       (Jettison score based on pop-to-Free and distance from HDcP)\n",
    "#         Update HDpop, HDlist, and enclave & HD-boundary associations, then re-loop\n",
    "# Later, we will swell-fill to square up pop (w/ checkEnclave) biasing toward close-to-hdCP, underused\n",
    "borderSet = set(borderUnits)\n",
    "debug, debugPlot = False, False\n",
    "startTime = time.time()  #takes about 1.5sec per HD triage\n",
    "clusterJettisonBoost = 3.  #this discourages jettisoning of underused clusters\n",
    "\n",
    "print(\"this code (repeat for TX only) will solve large enclaves so HD and complement are contiguous for\",len(cantFill),\"HDs\")\n",
    "nEnclavesPerHD = [0 for t in range(nHDs)]\n",
    "HDenclaveLists = [list() for t in range(nHDs)]\n",
    "for iii,t in enumerate(cantFill):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(cantFill),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    \n",
    "        \n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "18f46c40-7f28-4714-962f-0b462ff97b8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final ??? check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 500 time is now 2 sec\n",
      "working on HD 1000 time is now 4 sec\n",
      "working on HD 1501 time is now 6 sec\n",
      "working on HD 2180 time is now 8 sec\n",
      "working on HD 2692 time is now 11 sec\n",
      "working on HD 3192 time is now 13 sec\n",
      "working on HD 3692 time is now 14 sec\n",
      "working on HD 4192 time is now 16 sec\n",
      "working on HD 4692 time is now 17 sec\n",
      "working on HD 5192 time is now 19 sec\n",
      "working on HD 5692 time is now 21 sec\n",
      "working on HD 6192 time is now 23 sec\n",
      "working on HD 6692 time is now 25 sec\n",
      "working on HD 7192 time is now 26 sec\n",
      "working on HD 7692 time is now 28 sec\n",
      "working on HD 8193 time is now 30 sec\n",
      "working on HD 8693 time is now 32 sec\n",
      "out of 8814 total HDs, there were 8814 0 0 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 34 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"final ??? check -- any more disco's ?\")  #run again if we ran above block to fill minor enclaves\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "de4d8af8-cc64-4215-9b95-f4c6a2bd03af",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedAgainUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "f4bb76c7-0ae0-40cb-9c6a-ee436dfc30c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDunitList = [savedAgainUnitList[t].copy() for t in range(nHDs)]  #restart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "f3bcd6a8-40b6-4764-a0d1-6814e3286cb8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking on our corner clusters and unit county usage\n",
      "usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\n",
      "1.40534     0     8560 0.5\n",
      "0.95179     1     1848 0.5\n",
      "1.0364     2     6904 0.5\n",
      "1.30061     3     3465 0.5\n",
      "1.38123     4     11374 0.5\n",
      "1.34956     5     631 0.5\n",
      "1.28332     6     1435 0.5\n",
      "1.61333     7     7076 0.5\n",
      "1.02031     8     13708 0.5\n",
      "1.02073     9     12464 0.5\n",
      "1.09973     10     7371 0.5\n",
      "1.04292     11     6664 0.5\n",
      "1.22742     12     10218 0.5\n",
      "0.90168     13     2547 0.5\n",
      "1.0537     14     3285 0.5\n",
      "1.0825     15     7684 0.5\n",
      "0.97576     16     2652 0.5\n",
      "1.37344     17     13594 0.5\n",
      "1.24537     18     3303 0.5\n",
      "1.40334     19     1380 0.5\n",
      "0.85148     20     4675 0.5\n",
      "1.34158     21     3098 0.5\n",
      "1.28864     22     5133 0.5\n",
      "1.2834     23     12456 0.5\n",
      "1.05589     24     5230 0.5\n",
      "1.25664     25     1770 0.5\n",
      "1.3848     26     8615 0.5\n",
      "1.0435     27     3258 0.5\n",
      "1.40881     28     9831 0.5\n",
      "1.66554     29     1422 0.5\n",
      "1.07766     30     3672 0.5\n",
      "1.40675     31     5402 0.5\n",
      "1.43789     32     1095 0.5\n",
      "1.0835     33     10359 0.5\n",
      "1.46223     34     5816 0.5\n",
      "0.9803     35     1116 0.5\n",
      "1.80358     36     7012 0.5\n",
      "1.0565     37     2825 0.5\n",
      "1.39522     38     8222 0.5\n",
      "1.15522     39     3549 0.5\n",
      "1.37074     40     5416 0.5\n",
      "1.14935     41     1513 0.5\n",
      "1.33742     42     8472 0.5\n",
      "1.3919     43     14988 0.5\n",
      "1.58242     44     4838 0.5\n",
      "1.66905     45     14710 0.5\n",
      "0.90315     46     350 0.5\n",
      "1.19308     47     753 0.5\n",
      "1.44141     48     4286 0.5\n",
      "1.38677     49     265 0.5\n",
      "1.64245     50     3129 0.5\n",
      "1.44222     51     3353 0.5\n",
      "1.1472     52     13045 0.5\n",
      "1.52739     53     6664 0.5\n",
      "1.597     54     11335 0.5\n",
      "1.37466     55     5596 0.5\n",
      "1.27476     56     7630 0.5\n",
      "1.53883     57     600 0.5\n",
      "1.18644     58     13455 0.5\n",
      "0.86523     59     9725 0.5\n",
      "1.28871     60     5237 0.5\n",
      "1.42397     61     3953 0.5\n",
      "1.32859     62     1962 0.5\n",
      "1.38874     63     4456 0.5\n",
      "1.28494     64     8990 0.5\n",
      "0.9297     65     11973 0.5\n",
      "1.43639     66     1063 0.5\n",
      "0.94225     67     12217 0.5\n",
      "1.16106     68     14738 0.5\n",
      "0.97185     69     9869 0.5\n",
      "1.28661     70     12164 0.5\n",
      "0.97861     71     3385 0.5\n",
      "1.44727     72     2758 0.5\n",
      "0.86115     73     11587 0.5\n",
      "1.28755     74     6741 0.5\n",
      "0.98643     75     9900 0.5\n",
      "0.9582     76     9894 0.5\n",
      "1.03688     77     7918 0.5\n",
      "1.36033     78     5730 0.5\n",
      "1.23086     79     2451 0.5\n",
      "1.06858     80     3105 0.5\n",
      "1.38047     81     9205 0.5\n",
      "1.11391     82     9101 0.5\n",
      "1.0079     83     1372 0.5\n",
      "1.17935     84     1245 0.5\n",
      "1.46251     85     3372 0.5\n",
      "1.26364     86     6971 0.5\n",
      "1.14964     87     760 0.5\n",
      "1.18889     88     11831 0.5\n",
      "1.2886     89     1440 0.5\n",
      "1.16768     90     13602 0.5\n",
      "1.00138     91     3308 0.5\n",
      "1.23826     92     12887 0.5\n",
      "1.17839     93     7694 0.5\n",
      "0.8152     94     13889 0.5\n",
      "1.45647     95     9670 0.5\n",
      "0.96392     8018     174608 0.25\n",
      "0.93869     8019     232129 0.25\n"
     ]
    }
   ],
   "source": [
    "print(\"checking on our corner clusters and unit county usage\")\n",
    "print(\"usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\")\n",
    "for u in range(nUnits):\n",
    "    if int(allUnits[u]) != allUnits[u] :\n",
    "        print(r5(unitUse[u]),\"   \",u,\"   \",int(unitPop[u]), allUnits[u]%1 )\n",
    "# note for MN, option 3 here led to tight CCB unit usage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "1e983c03-777a-4e81-bed0-34a620175f83",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's visualize over-used and underused units, < 0.75 or > 1.25\n"
     ]
    },
    {
     "data": {
      "image/png": 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wfBxq11YRkoJrRRmuZaUoTUFCnuYZKjWecFlffiOOLwva7a9PtJD860ldbteRMJr15OQldLhNkiWmnpvDvo01JGZFoDfqqNzfSCioMmRiYrjcoeKVVBY4wgJFIDjR6ZT4+NGPftRu+a9//SvPPfccP/zwQ1h8bNy4kccff5y1a9eSktJxQCCB4Hinqqr2oHVGY6vwCIVOw2BIxeWsprqmjMbaRM46q3vHNEdoT+mWiMgjlDw8oZbI7D2RKO8QzyCySU/kqZnYp6fiy28EnYQkSwTrPCBJ+Asd+AochA6ImxKs8nRcYS8hNw/XVBU6UJx+MkfHHdZfpC3WSCOV+x1EJ1uFD4nghKfLPh+hUIh3330Xt9vN9OnaaHVTUxOXX345zz77LMnJHU89PBCfz4fP5wsvOxyOrjZJIOg37Nixg+Xf/xiz2cl5512KJAUAP5LkJzIqncSEcQDs27mTV9a9hRTqfmyKnurOQs0xRbo37HJ0xWSzHsuouDZrYrSXqSmoAQXP9trmACUSda/vQJ9o7XqbepDErM4LvIhYM5u+KSZjZGzYF0RRVCQJYSkWnHB0Wnxs2bKF6dOn4/V6sdvtfPjhh4wcORKA22+/nRkzZrBgwYKjru/BBx/kvvvu62wzBIJ+TVFREYqip6kphu3bq8KdyzrJyKdGN175B8YQxONysmbWeczasbaPW9xKy7BLTzicdie5jGSQsY7ThkC8+Q3db0s/YPwZmZTtaUDWSaBq/nGuOi+jZ6Ufdj9HjYf6iiaQIGVwFEazmCsgGNh0+hs8bNgwNm7cSGNjI++99x5XXXUVS5cuZe/evSxatIgNGzZ0qr4777yTX//61+Flh8NBRkZGZ5slEPQrsrOzw47ZGzduDK9/Z9JpNJi0p/fvAGK0JGhLRxw7P4bO0nMOp8cPqqridbvwOh1EJ6dCMEjTnn3UV/lImzXmqC0XtigTg8aawsuKolKw6fBh9H1NAWpKXOTkJaCEFEp21WO2GbpkfTkcFfsaiYg1U1vmQm+QSc2N6dH6ewMtAjCdmj1VXeTE1eBDr5dJzY1u50wsOHZ0WnwYjUaGDBkCwMSJE1mzZg1PP/00FouF/Px8oqOj25W/8MILOeWUU1iyZEmH9ZlMJkwmU4fbBIKBysyZM0lMTKSxsZFgsHVI5Z/B1hgUsqKgyMfgRtfNjr8lELp8DH0+BgpebzmrVi3A769ly3vD2RadR3lEBnuj4jm/oQRLqAHD4o+5694/dmnoxNcUwOfpeMitobKJsr0NRCdaGTROixQr62QyR8ZRsFkTLEF/KOxHYos69H1UVVV8TUH0Rhm9oeOZVU2NfnyeIGlDo6nY5yDgC2EwdVw2GAjhbvATldBzM4+6g6qqBHwh9m+qwWDSYbYZSM2NPuJ+SkjBWeclJy+BYCBE2Z4GXA1essfEU1vqIn147BHrEHSNbtvuFEXB5/Nx3333ce2117bbNmbMGJ588smDHFUFguMdWZbDw5HtWLwRgBszErhnSBqby8qZt6sSk897cNk+wt8SdVXpeuAzW7XWEUfWDOzhgfx9fyMYqkXWwZNz7uK2Dx7k8xsuBmB7sIaJyyEghfD7fZhM5k7XX7StjqiEg/drqGyicGstI09O7VAA6E06CrfWIssSyYOjqC114az1tpvG66r34XH6ic+wU7C5BkukEWetl8yRsZisB2cYVlHJHBmLJEnEp9upLnaSOiS6w3aX7KjHHmtm/6Zqgn6FQXnxhxQ13UFVVBy1HqIS2vv6qKpKweYaLduzqqIqoDPKDJ2ShCRJ7NtYTemueiyRRoL+0EFWIkeNB6NFzw8f5TPqlDQA9AYdGSNjqS52snlxCRu/KeLye6cREdv5z1VwZDp1Z7jzzjuZP38+mZmZOJ1O3njjDZYsWcLChQtJTk7u0Mk0MzOTQYMG9ViDBYKBzDRLPaamdVSUSbzpsVHr8TBX9bBXzuWZ5ze2SWuvssnpwRcKMcJuwaaTw4MgahvLRus6aLTGQnQKawI+/vzN2+G6ANTGEmiqRTXYUOOHokoSqiQDkvYeuflVotAvgyEVu6pn45PfABDRYMDkk1ElldpEP+1aIB3gXypBolO7YYcs+/h20c8BiPedDUhIzSnudLKV6IwJRNknYklKw9NYjLNyF4nDTkXSG5HbWoVahJC7Cr76Y7c+g1q3n/WNdtbEn4+Crvl6t5yN2vpeVZkZ8TYATViJ2VBKjDGJIcpeKqQkZru/w8lQAGS5aw7DQ6ckUVPsomBLDahgthvwugMoIZWxc9IPaU1JH9Z+SCQxO5KSHa3ZfBVFZdGrOxh3Wgb565sjuQ6KIjEzguKd9WQ1O/mW7KzDEmFEp5exRhjDxzPbDHhdAUp31eNxBdDpJeIzIsIdsQrEp9sJBRT83mCPCI9QUEGnl6ktdVG+twFZJ+Nu9JE1Oo79m6oxWQ0kZUdSuLWW6CQroaDK4AmaRejA65Q2LAYJbShJZ5Ap3FbbJhejijXSSF25m6nn5mCJaD/NPSEjgugkKxPPzCJ/QzVmu4GQXyEu3XaQCBJ0nU6Jj6qqKq688krKy8uJiopi7NixLFy4kLlz5x6r9gkExxW/DN6HTDEEgWpIBEYAjbpI9n+b1q7smAP2lQ54PRDjyecAsDUija0HbowdBkeyILcoiOaH4viAgfjK9qZ8SZUOWnc4qnPfDb+vMX1+0PaKire0N3tb123XItIT4zsNSVJJSjmHmKYkbWVTHaz421EfvyPigLnAC7usrFZHHLbszHnaq5UmLp74IeWBk3nlexlP9AoKXVOQTv4bRhmQ7uxSWyRJIiEzggS04TivO4DRrEM+yum7LfiaAnhcAW0KcEilsaqJ+dePaWc1UVWVgi217YZngn6FnT9UkDspkZQDrByDxsXTWOUhrVno7FpVgdlmIBRUwsHXVFSCAYWKfY34moKkDo3GYDx6IRLwh8hfV4XZbsBZ6yUy3oKqqsSm2kkeHNU6JTkLvK4AhVtrSRkSha8pSPrwmEOKs5bZRJntZlIdPS3nMGyq9kAdCinsXlVJkyNAbKqtwyi3gs7RqSv44osvdqpy9ThzOhMIuoPHU4rsLwagUZ+NS5eOqoZI968kSnLQMOXHbewCErubtCnoaWYDEXodEpo+kAAkqb0YkWBWxUpy9FUY4iOJiklprkfr4KTGUiRnGZI5CuKGIKkqEor2qiqAgqQqmpOpL4i7Mo/TKoPUDVG0XDQNEpZa8EdAU4La9shh0RLuBlSQFDC7JGSp9akyVb26ubBCmfTqEa9XvelbAOpqFwGQmPETEkqGwYxbjrDnEXwvVjwDQG6MxPgxOdo1l9qIO4nwupLQjaTKL9AUimDKnn1kfr6R4vPuJVkZin/6EyzZP5cddcM5ZebBwxhHJOCFxfeDzwmJI2HKdZhtXagHsNiNDJuaTJPDj04vkTQo8qCOOehXMJp1YeHQ5NB8PCadld1hZypJEtFJrU/6LR1xW1qCpnndWiTX4u11hwzS1hGrPtlH1sg4MkYe2bfCbDeQM16r+0BrxbFGp5NJGxrN/k016I1yu/xBgq4h5JtA0AuoqsqKlbPDywtO+gydzkJNUy2bfpgCwN2/uh2DvmudD8APL1/NtP2PsyL918w4/bYu1xMq3k35s5UApF0zs1sxKBr/9xIAmbpbyZ31q/D64eo9qGoANQCFa1+myPEPQiYHObbfE/Q3UeJ5AUXfPqBY1YjX8NtOI3ne811uD8Ce1V+QG9zDJZMyGDfn8JYPGAb8Rns7D7hLs1QBpPl+xG33LARA6cqD1v7v2ltx8hdB3BDQGcFoA51BEyb1hTD5WsicesQqrZGH7pQNJh0eZwBVVZEkCYvdgNlm6JGn+BbRFBlvDg9xBHwhkgZFtg7VKCr7NlWj08skDYpECanEpdpJHzEwZtVExlsYPSuNwq217NtYzaSzsincUkv2mDjqyt3EpwtB0hmE+BAIjjF13jo2rD6Tlggagwf/Fp1OmyVgkFt/gj4lgIGuiw+kZlN9P7I4SmhtUtVQ+/WShCQZwQQ5J/2CHH7RbnsuvyLgcaKiUrjuBYr8/wDAHb+5dxp+FLSVZF265MEDorXu/vLQZQNNkPl6Fw7SnvThMexZW0nmiDi87gAma892AfHpEcS3CVmyb2M1sk7CFmWissBBWm4MJpueyv0OdHqZ4dOTB1SANZ1eJicvAUuEkZKd9exeXUH+hir0Rh0T5mX1m9k/AwEhPgSCY8TWmq38+PMfh5fHWozkWUPMyWztaPW61ifVkBLo5hG1m7iqdn2WykE1drNjkGge/1c775BpsGhPkrkn/x8JO+JZV/5nJF0PREDuIW0mt7k2alcqbVEsiaMgeQz4XWCKAHMU+N2gBGHzO6CGQAkdvq6jxBJhZHBeIjWlWiyPY53kLicvgd1rKsgcGUdjVVP4eAM9uV7KYK39LY67O1eW88kzGxkxI4Uxs9Io39tI9tj4vmxiv0eID4HgGFHVVNVuebNHz3aPjttCfgx6zRRtlFp/goFuig81HFipu71rDz6JSpr4UNTudZ6STrtOsuTvdpN8wRBI4Al0s01tLpPSFe1RuVW70lXbCFTtwkCQImkwOjWEEgqi+D1kWbQ2BstX99jNWmeQScru2QBlhyNnXALVRU6GTjm6lBsDkeHTU8gYEUtNiYudKyso3FpDk9OPs9ZLTLKVweMTRfCyAxDiQyA4BrhXrCDrt//HrKkKS8e23nSCSOQtXYwqG5qnecoovEQuu/l3qGcsH13qCTuqpwdotXx0t6PvuRgSqqo50e6tcjOtW21qW2fnr3nTziW05L41oFmGMtV8bYUOaGPBr7P6SWRgojfqDppJczxiizZhizaRMTKWESelYDTr2behmh0ryijPb2TkSanUV7jxe0OMnpl25AqPc4T4EAiOAZV/vpuNcRdxcpEdk66APcnV7I/bBECtFAe0cQyUYD2TqVKspHbjmGqLzwfdHHYJ96rdH76Resjy0eLP0pPeLIZOTmc9EKmNSOuK3tvgyuVk1gDwPZNwYsej6jEbG0iMKiDJ6MJj1lEdZ8Rr0THZsZnIyLHdarPg2CPLUjj3Ts74BBKyInDWenHWeYlMsOCu94Wdfg+FqmjxcwaSP0xnEeJDIDgGuEfOpqJJy/ac4xhDjgPeHvcAtfYmHkmLZWS8GYkQMiHmb24EJPx07+k+3Bl21+G0B3v4sOWDnhEfPdE4i0EHIRiR0r2hB7mblg+XfRiPrZ+FPz6F2KEjWF4tsSwwBHzgz43jwfjfk05xuLzHUyTExwAkItbcbsZPRaiRPWsq8TgD5E5OIugPEfQrVOxvxFHtIWVINPkbqkgfHoOz1kvqkGhKdtWTOzmJ6H6S1bknEINQAkEPoihBPJ5SAlefdNC2zKbfUZv2NL8tc3H7R8XQFMn4uBxahjn83R0uaX5K6n422p7yHQFJ6ni2S+fr0USM2gMPguGEed18qmzncNqFS5U9bjySqjAkMY4bbr2NBkt2eJtxfS3bag4Iz78kkWDtATNkBAMKSZZIGRJN7uQkDGYdZXsaqCp00uT0ExFnDscxGT4thaGTk8kcGYct2kTupCS2Li3VLCLHCcLyIRD0IKWlr3HB4sfwqhJMh0znHM7aukDbaLWApE2l3ZNj4ey9hbC3MLxvd8WHGh6a6O6wS/d2b1dVs0Ntd8UH8jG4VXV3Jk87h9Pudwov3XIGl/39c/Ibtafkd9afzaRTVhNnqSdh9yUECnxUbFhL1Dk52E9KPa5N8sc7kiQx8qQjD7ImZLbGDskaHdcaZPA4QIgPgaCHUFSVr33DNOHRTFHEIiqSYtGrMnmlceSFMtmmFLMuaxhVke2jOjYFu2kd6LFhl550OG2xfHRPEIUtH91uUWst3T1LSZL4rf4tfqb7EvNTOm1oSJKbQ6RKbZYP+KN5W60NiAeXNisqIcLMt3deyGtfreaPi7QY8yvKpvCjwQuJTp6EXGNAcQVo/GwfslGH7TiePSI4/hHiQyDoIYq8fu4qtmCJvgx7g5azxGs7GZ2kokohXHIV1FSRBWTWVbImewTrs4aF969r8EJS148fdjjtbpwPqSeHXVosH11LvNZaUc+NEIeHpXrAcvAj3Uoskh+6cnruBCCeksJynrzsfBRkUEOYdWb+MPgyXjNVMT5xM4nbr6SpJAEJP7ZmyVT3wQasn/8EopOR9BYYeS6cdne3z0cg6C0ktZ8lYHE4HERFRdHY2EhkZO/NRRcMDFRVpXh7XZcTRvVgQ2D9K1C7R3uvhNhGJKeZzwJVQe/fi6QGCJiGcsN3BydUa+G74GB2J6Yj+UOcJhcRbwkBapt+Xw0fru2y9qK2vAAq8a5isn0lnGLYREa0tblzldq8QofP+wd0wiGfhfIyLXOsIc3eQfkjXJs29ZXZX6Mu40NUVSKoGgAJVW3OoouWRRe19f2ByyCjqhKRhgp27TwZlysGu7/VMbdtUyQ1RKUSHV5O1jtpZ+Vo/i9xzz4y9hTjlmx49XaU5uujtrzKza9ogi6glwgmwsXZX1NhSKJSl948RVpilHcDZilA7YJXicsaowk/VW0WgM2vHf5B9eZlvPbyV5roaHd5ZS4ZdAdBg5OQ0YnJfbB5XqaRZNM1yJJXW6EzwR8re0RQCfonxTvqSBsW05psrx/Smf5bWD4EAwpVUZH6w4+vehd8emu7VUMlHcw8CySZoGloeP3ywaM5Kf+gPLP4VZnCYDT6siYAhhu34XV0PT+EHxO7GUxioJaM6uVdrkdSTUg0oWIlUOrqcj0AlvgsSJORZAVDNwKEeTwRVFcP0t4f5T4VwY6v5cwfdgJgww1UdVjmIPZDMFFHiq2SlGBl6/rmr6LFGgGxg46yZRoJ6RO5fsJ5lK/4hk8+2IYS2ANoPjvflL2KTjLgCTkBsE4/h/EzZxNUFUpXvM2Z5Q+0Cg+AiVcL4SEYUAjxIRhQKCEVWdcPbrL+5k7ZFAmTfg6SjEGSeZ8fWEMscnPWWW8ALHYnQ7NMJEUYQZJQkNjtMOI12PmryYV/84cMkwopGHop9WmTtbwntM7xD2embdO5tNTfEgtAAmp37aChsIDQqAth4m/bmEvU5vcHGDkPsnlqK2QgyQkBOV0L9X20dGBEXbk5mg+XpFETEeQ384eioqAqzVYBlGZfEAVVVbVtzRYDzUFVDW+v9DYCOwkic828cZrNp9Xso011VRSq92/G4YOYtFxiIsytzWo+f1VVCWkjYnhTM3Bfeb22b/P+NL+Pf+LP7c4jJEvoTNpwVn78VFxZC1BVlXHr/4AEWI1dy8ljTc5GFz0Koz0Hv+tj1FANqtJIra+sXbmyNe9y3rXnEqyvZFzF3e1NPhf/F0ae16XjCwR9hRAfggGFJj760QxxSwzMvS+8eFLz35EY3+Z9447fE6U0kDk8l5RJp3S5KV866vmhsAA5OhNyZne5HtBuDD1xc6iqqGdF0MQlgwczb+y4LtezcU8Rpat3oiAxaMaCQ5YbPPOiI9a11fAAhGBf3FyCPwQIizMV/CGZrEw9hTfeTtZzTwKw+/yLseWNI3fXDZgUP65ZdzBuzFytsvV/0F71XU/xvr+8ATBhtGvnpSpe/M63UZXa1jbnlHDRvy/hy+ql7Xcefg6MOr/LxxYMMNTjZ76LEB+CAUW/sXwcA6Ru3lRa3Lf60xTMllgY3Q9hoglOqQc81PITrZTkPnDAAZr/ZNhSDpTH0Tj6OlJL3uPsv97LxtJyPHtMmBQ/SdEdBDrXm7rcnp2GbcAEADx6J5ZgBKaoq9iY9CUudTk2r4696W5COhfVdTJRDRL5nydhigqQ/bPbRLCmE4X+87PuEYT4EAwoQiHluBMf2jAEhJSeyUbbv8SH9trdOBg9eUYOq7fdcnR0NZnxBoL1PrbXtk43qokfhzO1jtu+WolDp7InqPlfSIsepzx6CKqhTTh8XdfFR1qmyj1T7kCRgiiSgiloxadv6vCkq0qt1CzRHPl8jQY85SFsWV0+tEDQZwjxIRhQqIrar729u4bWMTc0NNKddFP92fLRn+bU/Wt+kLO37yIyqE1zbmhIoKEBnPEV2IY0IO+NDpf9InUuZV4DWcZWx9Sk/R8fVGdINnY5OH62OZ6grtUZ12doarf9v+VVLLWYGeb3Y1ofS6BNELmy3/2e1EcewTppIpKu55LvCQTHGmGxEwwoVLWfdK6l67TXhsLDl+sEcjc7j342ax6AVfvrAPhwQ2m36mkN89EDuV0sKbw56Tn2jW4/IyiiJrmd8ADQ15Rj+qGaiu9g06Dr2RE1mz32qey3jqPImEsRKXzPJELmmC63Z6w9kwudB88qumf6PTx16lNMvHE9v65v4Gx3E+nTK9qVCVZWUnTVVdQ+/3yXjy8Q9AXC8iEYUKiq2j/GPnuwo5clGVSIi+uZ2CX9Qpw1s6vS0SP1SD34nCRJEqqkMnZCJlfcOIutu/ZQVdbInvfc7crti93Entg9UHM2ILFgxywW/+p3DErRPidPfTkPP/0vAKYbLV1vkKpwe10970e0xlTJS8jjoqFtnGdn/Q6WPoys7/h759u/v+vHFwj6ACE+BAMLtZ+EM0hpnrkhd22K5bGgPw67jM+IobjOQ3dHynpypK3FsVdRFPQ6HXkjh1OfU0/2hGqCjRJPfPkI60zrCer8uAtubLfvqU//wMo7TiYlLoqQ39favm7MdkEJEaWoLPTF8MnUy5k/aD5ZkQc4csy4FZY+jMEeIiJHxrmvvX9Qyr33dv34AkEfIMSHQNAVWjobezfiofcw/XHYZUJmNJ9sKmP+mJQeqa8nNIjcbEVZ17COGXUzeGX7K3yS/0lrgTZZy2+eGuCZJe33L6tzaeIjoIkPHUEkuRuWmeake6mykRvG3dBxGZMdznkKafFfSX/jS3y1fpzffItl7Bhs06d3/diCAUX/+4V3HSE+BAOKfuPz0XIX6A9taaY/Wj56jB48J33zbW9p7VKWfrr0kOWuifdxUnwR4+Y9w7Mbr2F91TiuGvkmE3PPBiDU1AiArrtZhJXmhILSEXx+Jv1M+wNM0WAaPLh7x+1jtm+/g5raxSQlnYvLFcTpyGHt2hqSk5PJzs5mxowZyN0RdccZx9uvWogPwQCjv2j/sPro01Z0RH8SH+G2dDvOR8u77n/+06Rp1Ppr8Zg86GU9E5MnMjhqMGdkn4Gj4jV2lnyISVJJNao4HB8BcO3w92DE/4iOnh2uR2ko0l6RWf7K/ej1Mi6nj/ryGrLjLVrHKeuQZZnomAiyB6dqAkPWNb/K2mvpWq1C+cSZreLzVVNe8QEAJSUvA+Dx2HG5zmfv3r3s3bsXh8PBWWed1ZfNFBxDhPgQDCj6TYC/cGZULU6Hqmqhu1UlhIqKoqrhIoqitATQRFFVDAEvxpYEZGhmewC/w4G7shJa6lJVrW6aY4EoCoqqooRCBINBHAE3DrNKQa2b9zZ4Gaq6KQ9FsrUmSFxZIya9Dqc7H7/nO8Zkn0NLg6WWtO7Nf5IkYTQmIB8D/5We0kFyD2a1zZAymFc6jwXnLWDcuHHt6054hIlDbmX3nj9TU/MtAH6/GVm+gTPPvK5dPY1+bT9FVllc5CYYNKFd0wT2rdmOztt+yuzVOeuIM7Vf1w75xLkd6/UH592R5RDp6emUlJQAUFxSyr2fbMPpDYa/R59sKsMfVIiyGDhrTDKSJCFLEGk2cN3MHKKt3fC9EfQqIqutYEDRUNmEJENUgvXIhXuQP3+6nddXFYZFRZ60m/cM9/ToMZ7nx5SRfFRlXXoX36R9Q0gO4dzx0CFKKUSMuAuAqRaZS+Nch3TctFiymTZ1IXIPd4CvrizgTx9vCy/LbXLRyJIUTrYrSxJSm/fh9bJW1tfk4hLzZgBsNlu32uR2a7NazjvvPPLy8g5Z7plnHsEfKMLtikVVZex2H5IU0topgdNpQlF0GAwepkx9n+Xf/yS8r7lsP4ONDoqqA+F1V59qJs6uZUBGDTXnkglpy5IMJ98Gw+Z369wGEk1NBaz84TQAjK4U6vw6Fly0lGeeeYa6ujp0GeN4cc/Ri4k7zhjGL08dcqya2+eU7KwjJTcaXX9KL3EAIqut4Din900fn20uwxdsHdvfQwp1ejuxUveyvrbQiJ1aDh8rQmqOgCqrKm5jHSE5hKSC3lxK0NsanmxwvAWHT6EutCO8bpVHYVWJlYfTmrAarM3+IQqqGkJVg3g8BYRCLmQ5ukfOp4Ux6dGYDTLegNZ2JZzkDTozhKLDgEfVY5GCYfHQHSRJOuLU5rq6JiA+vOxydRzF1GR2E/C0z1tz8gUXE2kwUPT83wC48K4/EzduQvcafZxhtWYze9ZW3vznG8wuHsog4J6GZXyWPhx3jgVTkx/V4OeqSRmkRltQVfh+bzVbSx3kZUQzOTsGRYW1hfV8t7ua/Kqe+S0KegchPgQDClVVw1EzexN9s8ngP1dPZkRKJJIEweCZ1PgdzRlnZWRZ1nwcJBlJbs1MKyGFn+zveuAtvlLjuTainl/delFLylrMqp7/02vDHpIsa3/NmWwPzGgL8NmnT/J93RqGNlh4797ruOjll1i7IwmDuYbPf3UFZoOeO78q47Py9ufxu1Irvx9zEVdM0Kw2iuJj8ZKR2nGP5PDYBfIyotnwp3m4/cHmhLFqePgpPBSltGSmbV6PVk5pzlqrNOd98/unEa0LYOiBJz+r1XrEJ7NbbrmF1atXM2rUKPL3PUNd3QpUVQJVQlVlVCRUVSI39xoyE2axfsVzBE0mCkPR/PvbXVw5LpaWUcJsITw6RAoZmV08NLw8tl7HvwY3586xgTyiibvPGYm++TO/cfbBTrafby7nu93VFNR2X5T2e/rVOEX3EOJDMKDoK58PXXM+mWirgeQoc/NaM9CJlPPAp2o6AWS+9eu4LSI2vL6zmUG0VPMgqRKvvv4FE2utrEch4I1n8r3v8Y/LpuILaTfjWCbQwPrwnIyHtrzHuqpNPHHmB82p6zWOhfgAsBh1WIw9UffBfgLHkri4OObP14ZBiktWEx1d2W67329m+7bZFBdVgv8tSvQJrPGlU6vaQAdLtoIh6xrOrfic9f/7mAlnHTob74lGsM5LyOGj/r09AAQk+CpZj1mBlCaFcqsmNs5Q9OzfV09u7qGtVFlx2hBsQe1h/GmOF/qDv1sP0X8HjwSCjuijqba65mOGupmeNdD8k9vt755zp9IsPhr08TiWmYjcncgClxmzAs5QBD9/bTs7KncD4KOGVZevbLf/15XaTb83xMfxQEbGz9otFxeNYvWqC3A6EyhyhPjYlcqXgWGa8GhDQDayLG4GBZvW92Zz+y2KL0TDp/lUPLqG6n9uJljjAaDcInHPWAu/y7OEhQfAF2lGTikp5qWNyw9VJdnx2jWvc/tp9AQOWU7QvxDiQzCgUPvI7qiTe0Z8JKMFpppg9B6h5OH53rWTBVt/xXnb/g8Ar8FF1vBqLoqrJQ3tSbJE+gYAN0X86otz2+0/LVbzEVHVYHidJAlD6KHISL+63XKdcgUr/YN4wzueT/yjKVZa/XX+b1gsE6yt/gdVpiT0c67orab2a2pf34FreRmoINtbBXigzQOF1MEciCfrXHy7aDCV9SVU1JdSWOMID9fZTXri7ZrtsOhEsH4cJwjxIRhY9FF4dX1zsKPuio+J+7SEdIM3LutWPWk1I0lx5oSXA1Eubrv5cu7/3ZV88JtT0akQdLWOpRe7a8Lvf5o9hRd+9CUAShvLh7gdHBpJkph5yjomTnibl/e/wTO77ewMJeFvM3Ido5O5ZUQKv7xqKu/84eJ2+9/64R6W7Ko6sNoTCn+pC9/uegBs01IIzWodbDTq6sPvi2aOpWjWWOZaWpM2nsrXAGzdMIttG2by2ZKLybnrf/z18+3Uuf0MiteGXvYf734fwudDIOhL+mDYpdnyEeym+JCb7x5KNxVUTlUuxW2WI2qSee0X76CTQugkBVtUDO66Gejt2tDL3PRzeGnfpwCU1u+kcN2rNNSsxcEaMACq3K+Ck/VHDIZoKr3D+G7Pd+F18SaF80ZEEJuURmGthz3eADl3fYGkO/ha+oPdjIQ6wGn8fF/4vfuH8na/4qimVt+pXQ1lOENutntbk/WlqRXtfvbDY/cC8MKy/bywrDWp3ur9tZw7LrXnG99fOI5+okJ8CAYUal9ZPnQ9M+xiGpwDKpjGj+9WPbGhaoqxt1vXqGudFqri4R39w1yNlnumRXgADDVWsbfxXk10NGN090zuleOd1Ghzu+Uan8y/N7qB3e3Wq6H23xM10sAaU4ihHh+xBj0RuhNP7MX+fATf3/pPBkfmHbRN1+Zynb6ltvmdNuvlbPVjJkrtfZasGV8wMqWS7eXtsyaX1nt6ssmCY4gQH4IBhton6r9lem93LR86vR4CoHYzlPYQewWxHz2GPzKRqlmnsLVgIzoVFAkUGeKMZzPK7ycipOBsMzXVKKmYFT3gB0AO2Ehf/2vMvgw49xAHE4SJMBvY/+BZ5Fe7OP2J7w7a/pcFo/h3RS17fH6UKC1AlqSqqGYdfyuu5m/F1RgliZ8kWHkgsBZiB0HmtN4+jT5B1umpSCplz571RJsSMckW9LKRPc71pFkGc87++fyQaMZpVfFJmtVjrLqey3mlXT0mUzLTc4fyv18NRVVVZj26hKK6JqKtBm49LbcvTq33EMMuAkHf0FfxePU95HDaEmG0u+dRX1TIiiFpNNrMULQRZAi22X5O5ec8Fjyfe0IlrNEPR3fK2XxSUYEtoGPvhiIuvfFm9GYfOq+dysXrkHpkKuyJgSRJpMdYOWlIHDvLnciyxM9OyubsMSlkxdm4Y3EDoHWevx+UzEP7K9rt71dVXqpy88DS5gy2V7ynhVa3J4ElBiKPTyuUJElces9DvHT79RSWbWu3rcC1jRELtzECePXam7lI9ywj2UYkjoPqycy8tl2d3/321GPd9P6BJAnxIRD0GX011baHxEdL25Vuqo9N9RWa8GjDtIwhZMycTeHyZawu2IVisPLA8Jtxmq2UkQDJWuh2o2LEHq+NsQe8zWbqE2sEoNuYDTpev/Zgi8W7FXXh9/cNSeX6jESuz0hEJ8HjBZU8XajFCokNNLTu9PpF7Su54j3InXssmt2neErqKVi4Gl+VEwkJFZV5Z9yAd2MN5f5SvrFWUpGQRoU+mb/zG1Jr9/No7G8Oqic25qQ+aH3fI9F3s/2OBUJ8CARHQYvPR1DpntNgOMlrN8WHKSYGGrWx8fFpg8i79gZiR44CIPPc82i86Vo+TcpgV0rWQfuuzxrGlsI6xmTFtkmQJ9RHT9AiLgBWN7q5PgMszcNevx+UTEH+Kj7WZzO9YeMh6/CsWUqwSMY8YgSG1OPDeVLxh6j9+1YisPKjjBtbN+wGrFFERQzmutO1IHKPpDexqLaC9btl3tP9hGGmCuLii4iPL6LSG8up1pyOD3K8o6mP4wYhPgQDClVV+6SfNKgS6UGZHZuq0df4kCUtZDpq67OIqmhPJmpzOPCWUOKozU8sCuwKxGEaGs2qoELj4sXa5NbmEwpbdNqeoCQRCIUob3SgojZnpAWTQTPrW01gnJnKjj2fwp7PwvXEzh+Gb0Or890U2Umxx0K5SfvJK/vyqasuRHW1HPMYXLQTkEWTh5G5VEuA93l1IysbXEyP1hyDJUlidPn3fJyRjSXkO2QdtS++hrP0fWS7naErVyAZej7bcG8jHSqjIeAI1qLoWqPXXpg9hStz9Vz91d9J8ks0eFJoaEghf+8U9plyuPq8E7PbOs5GXYT4EAxA+qCjHLXDw+QmE6yso4C6I+9wCOqmJ9CYaWILNl585Z/MX7n0iPusmDGd4szMduv0JhMWoMkHq97sOPrj9nNao3KuViLCMdxTPApx33lpG44ppB48ti44NI1fF+JeVQ6ypHWsuuZXWeK0zCDfxmoX+/wNezGEgugIYpD9BJIvBMCi+KhQU1GDQYJ+L5IEcYYmglU6PHWao6p91qzjQngASHqZomGxZO7SfjtNsopVkfChYhqZRSC/NSjb2EXr0CshhqTHkV2kxacJyUZ0ip852d3LaDywOb6eEIT4EAwoVBWkPvgR2vyaFaPJoM0oUengKeTAJxPpgDcS5O3zsT1T65jSoiMxjxmjbWsZ/jjg1S9LYeFh8/vx63QEdDqCtkj80fHoQ14SEvzQbHFpW8XYunUUpWuJuEbpClFVkN1RLCh3441p0Kw2qhaO2p2xmUzO6PL1OdFoWluJ4uo4lPcVNUVsnJpGbUQ0AAGdngB6vJjD05tL98kUTvwH37/xHKhNgA678TRi3X4yDIuI8uwneP1lvXMyvcDHT22gZGc9slVHulHGqmi/CRMS7HZRa2795biN2u9jctGu8Dqdos3OijKf4I7Rx5HpQ4gPwcCirxLLSRJBVK6/ZzqR8ZYj73AIvn93D9nvFjNmbganPvnIIcvt3r2bdevWsWtXmxtwfDwBR7OFQqfDl5KNKdLD1b9+uMM6ft5uKa/DMk7nNlavOReTMalzJ3KCE2rUhk2i5g/ClBOFqqgQUlEVhVNDo7jwzWfwGkzoZSNnnD+PorKbCKEjKeXXfPf058TVl/L91h/C9elMeQSto6myQVXiBE5acSdvP3oVtZfN5bHZj2PSDexOt2SnFsF0myeEToIomwGDL4iM9tvSBVuF3NWKmxnJ8XSUDSc39zifSns4pO77ivUnhPgQDCj6yts7fNRuCh9FUdEpYJEPHcr8ySefpLGxUTucFCIhsQBPUyQtukOv1xMVpae21ovV2j0H2JbEciKpXNeQIwwYM9pn220or0MGrAEfGcYoon27CFKGqko4TbGk+McT1KlAAJ0uBFKIi2+/jOK3P2Ftw2QAqhImsGjcMupLvmXKS58RVR9JnN3I4xePY1eFk/qmAFEWA7OGJWA39f/b+NUPncR/f78crwq6edkMPSOLj350L6VpM4mQoVHy8bPvP0OVJO69+ZcsXtkaVGzy5Mk0NjYyZMgQRo0a1Ydn0bccX4MuQnwIBhp9FOG0he5O822JfCkfxgEvJiaGxsZGzGYHI0ctwWZrJBAwsmb1JUyaNI158+bx7bcvsGJFBXIHYbw71Z6WxHJCfHQJ+YCO3+v08NS/ngkvZ6dlUFr2ACYT/ER+DwrBdOkUbvlsGJaASuzF2fz4NG32hvrFH8Pi47kz66mPkEjyWNhboKeRJorqmpjz+ME+QkOT7ERbjUzKiuGWOblYeihmi6u+jprC/WSNm9Dp771fUfApKiZZQi9J2KJNpOZGU7anAY9TG0KJoZpyAjgVHZJkwBTSvosqsHevFj49NTWVs88+u0fOZ8BznHmcCvEhGFCofRTno6d+9C2ZOGWdhNdbhsdTTGTkWHS61qGcc889l//850+MGr0Ig0G7URsMfs44I50pU+YDEGw2U+t03UsGp6qa5URYPjqHHGFEcfoJVLqxjIoLr9/w/Zrw++HmTNInGimpqiIU0oXvtj6jTGhSJKxsZP/XJYRmZ6PTySTe+h/4zVoAfl6byJymL/EqNk7FheOAUPpt2V3pIsLvZcGbT/P9I5Hszr2EU063Mfbi6V0+v8aqSt78029wNdRz7u2/Z+i0kw8qo6gK1U3VJNnaD9lNWLGNMl97fxgJkPIk5LExyKqL6/97B7+b+BpTpddRQxE0haIJhRQ+0M3i4aeeCu8XHx+PQOM40x5CfAgGGGrfhFfvqeEeRVGwxO/GaXyQ5StaE20NH/4AgUADxkI9UaYxjByxE4PBTzAYgapKGAwOamoXAr8AINT8lNh98aHVI8RH51Can94dXxXi2V6LpJexjI6nrq51JpRPCbBkw7NsbjobBRlTeQWqRcf505xcc/7ZvLJ2BVENQd5ZWsCP5+Tgr2/N7JqRFIetUcUmuXjU8DzXB37d7vg5MVY++tXJ7Kl00eTxkX//1zQMv46G5u3LvvWQc64bu6lzs0NCwQBrP/2Qle+/iccahW/YBNZu3sLQaSejeIL49jdS2uDhnM+XYBiq+RpFS0N5/exXyIzTjlXmC2DyNjF690bytq0myllHVVwKVVHbyE910xBp5gulkbcGZZLemM05229vPW/nh1QOVlCbhyWzsg6OU3NCI3w+BIK+oc9+ej0Ui8tvfJ2sOW9xoKfGzp13kXqTka2DzsEo78L4fwUA6PXONm0oCr8NBpvFx2F8R46GVp+P7tVzohH1oxwaP9XEY6BEmyZan99IgTOSBGbSGL2N/WoFW2umsLZSSyIoEULyhqir0hMfaUKeEg/Lq9n/VQmhWdlIJmu4/uW7TiE59lOSjXuYLm9DRkGh9TNSvSEMARfBr+9DV7KRePs8Mi07KPGPYar9TXyKjXeeu4Ufjb6AhJN+rYVtPwJBv59//OKKcNRbf0IqyDK7yypZ9/ISknZoAtUMfEMy56gyIUmhQd3NrCc/Yf/9PyZY42FDhYxnQxN7HS62NGpTZVOqS0mpjmbc3mg+OqWMhgitrrbCAyA+v5BL1n1DynvvYh4yBLO5fRTfE5rjzOlDiA/BwKLPh126d2yPZx/G5vfxcXNISDiDffueoMrrZefsx1gQrc3F3MX7B+2bkdEaajosPvTds1i0Wj6Oj3gSxwqlKYB7bSWeHXVEnJKGfXoqoQYf3t316KNNKD4fW4pag7pFNYwiFNhL0G84KBXzGYOHA3D5ubm8urqGqIYgj/5uMRHu9t+t2uh5uDJ/SqFpJI9bcggBby7fz7qAjwydg9Kn5zI1uEcrnLzhoDaPbQDl+7/Blo/ghmVgiT7k+RVt3cS7f/lD6/nqDagGY3h50b6V/JjWoRcdjfyupoEHEiIZ5guSnJFOzSvb8e6oBRWMsolkSzZb6g9OvqdK2o/pmTkvsnN5OYqsOeyO3vZvYhq08wksWkz06NGHbO+JynFk+BDiQzDQ6KthF43u6h5J1iwNjj1XcersP1K+8RPUhkwmrbyGj6K+B7QkWbaFtxKw/gPPJHB444mPm8Xo0ReH6wmFtHr03ZyC2WL5kCVxK+gIf5kL14oyPJuqUQOavaquxEnCTXlEn50DZ0PNc8/heetRZs0Mso//MvySX1CspPOnbfegK/eQPsRH5rLdrEjVYrr84b09/KbaiVnxMWWoiVnbvES4WqLcQsZQOzMvH0lU0hwAhjS3RQ2FiFz9IPN077bPIthMSAWdBF5VD0isYwxfS7OgEUyPPcnIsRM499xz24l396rVFF11FbuTYiA5tnV97rh2dbslH7HnJ9Lw4Q4U4tDLJVzmbODHrgYA6gPv4w5d2G4fpfm7BWCPiaV4KHxp34TPpF3HWxddg2Wiyj/+FY/ZW4tOaT0p05DBR/kJnTj0RXyjY4m44wgGFH3k8tEmB0r3qrFFaz+5+KwVrPjiVHyWEn4wzOZHko+Xhn2Ebsless257HGsZ1fcBSStNoIk8Ye77gp3GrW1tezc2eLz0T3xoTQHGZNkcStoQQ0qeLbV4FpRjr+wNfKrIdmGZJDxFzupfW07STePR7boqX76GTLnOLHq/FyfdAlLicKGG125ZgkpyTfxwuqXmX/eY1r9UUbQyXiNVlYNVcgt8xNbX4XB7+DG567GcMAMGlVVWfPiv4l47AlOvaQCDhgha1Rt3B+8ggo1llI1nkUmzUK2mNYEbL6QxIYNG8jIyGDChAnh9UVXXQVAdl2AvcmHvy7WqcNwf70anysOnzIBhTh0aPmF9FLjQeUb/FXaflHRXPv3F5F0OrK3vsR/tv4Hh1+7rh6zxG+vquHZ5zShsmnIJC569wX0FjHcchAit4tA0If0UZCxnvrN6yJWAeA3auZlKWRgAYk8OTyRUCjAC7M3EpI3cGfFufzy1/fwwJ/vQ9Ub+OsDDwAwatQotm1rTUeu03XvJ9zq8yFuBSGHD9eqCtyry1GczbM1ZAnL6DjsM1IxZkWiNAWp+tsGQrVe6t7eRdSPUgAoWxlD7oJK9FKA4Vsc7BwDOSlF7CvP5C9b3+LTEWM5o+prJFnlo3lXgyRxirOaF2ZNZmX+l2zf9xoByUhNyZmkDE7X2hNSeH/Z/3h992tc9uFm8oCS9bEMmlQTbrPXG8csHqCB1lgjbwRP5XL9Yq7hLf7FT9qd4zfffMP48ePDQjb14Yco+93vMQZcGCLvRA3sQzZkk1UElqEeqpoqiVcimRocQv7jX2FyZYfrkqlFUU24lPPxWaeDQ6GtMtpc/x0Zo0dzyZ8eCq+7dsy1XDvmWvY37ufcj84FoCQ4h/nnnYZOkQjJOuSt1VwyOaObn+bxhzbb5fhRH+KOIxhQaNqj79RHT/qbZOhvIGvqNZhssfzdF2RL8UKMH/5AXG08qCo/PPoyelcDgeiE8D5thQdAYmLXo60CqEqLz8eJeStQVRX/fgeuH8rwbK2FlqnQEQbsU1OwTUlBF9nq+6CzGYj76UiqntuI47N3qH7oHQCCHh01454hftOtpNX7iVoc4pWLxvPxc03URMeiC+Qz1L0Xjw2KTh6JwWAMf5fOuP5i8tcuwecu4ZMnnuHHD9/Ni4ve4OOK96g1lYMJHrpYx1uPBKkvNmE320kYrTm5/lM/i4Zgq/B4fIbEKTP+zdpVHzJpzW9IoZJyWqfCDmozdVVRQizJCfLfuzPZGyjD5rmb2XtmkuGeQJMOrPvKmT9qDpZyt7ZDdatfkEX+DkmC4sTZNFbtYaj6NjU2I++bbuKCutPwh7yoqorXV9zhdR8UNYik2r+zt6o1p0uoWbf89v3NQnwciuNHe3ROfDz33HM899xzFBQUANpT2N133838+fOpq6vjnnvu4auvvqKoqIiEhATOO+88/vKXvxAVFXUs2i44EemzcReNNZ/vx2wzhIN7WV3biHCuJ7phCV5zFiWpvyRoiG1/j2izkLPucQLWakzODKJnDse73IEXzQQ9TJJQx47HtbgEJIlBzuEUu/eyT6rFEpeAKTqW7OxsIiIiMFs+or7+SyzWqezb/wztJZkEktS8RjpgHa3rJAmnUxMzJ5rPhxpQcK+vxL2yjEBFa4o9Y3Yk9umpWEbFIek7ngFkTLMTcXIEZe+9E15nHjMGx5uvsjrld6Qat7Ot6Qys+dWADYPtXHwNT2rH1UGIEMY2IlbW6Tjzl7/iy8dux25eyEnvf6FtMIExZGamdS6/nPULhvx8EAClpbvYf/FZxI9y4k5sHZ74kaWRC8+9HIDEs64luOy3jMjfTvmoVvGR/q/nKTCb2FZVwvoNi3l3Tml4m9si8fnYZdxdkk1V8SRq5BS+2tFAol5irEWHUQZ/+WYWZXs4SfqEOCCzaqG2cwCeSIpg7tsr+WzYyaihUtbZh7LTPYyh+2qZltMaC6WFb349i2V7qvnpi6vbrY+yCOfnjpAk6cR1OE1PT+ehhx4iNzcXVVV5+eWXWbBgARs2bEBVVcrKynjssccYOXIkhYWF3HDDDZSVlfHee+8dq/YLTjBU6BPxYTTr8HtDbF3aerP2xi6kKu1dbqxvJDIYJNK1jqICiTWunxyyngXRcRh82o3Yuajjp8K2zEz7EZf9aTryAb4d27Z/isvlp65uGXV1y7p4Vq3odCdWttCGz/fh/qEcAMkgYx2fiG1aCsbUQwfzakvEqcPbLQf2bCXkVamXotkfo2XVafhK2yZJEqaoG3F4nsXqkHnl/ce4/sd3A5rlpWrNFxi+fYxf5G5gUvOQC0CMauSjS74m1h7d/tjmKErrjJQsi+PkpGW8MP0cABqbAjT5A7y3dTX5i/aR2PA+CaE1xFcVYZUVBm3ZQVNUgN1LnqTQFUfI1P6czEEZr17hH9Gvc25xOkY0JxCn1UB1DtieuwOzr4HKnEv5kDOoIo4pbKSOaNYwlpNqh1KdmkVIkkGfyW6znSqTBU8gxKE4JTeBO+cP58EvdobXPXTBmKP6DAQDG0ntZqaa2NhYHn30Ua655pqDtr377rv85Cc/we12o9cfnc5xOBxERUXR2NhIZGRkd5omOA4p3lFH2tBo5G4G1+ospbvrKdlZTzCgEPKHUFS4JXBRePtvauu5yuFkVfaHeE1p4fXtdJIkEV/sILLWgzErEkNqBx1+y69RVQk5/NgmJmEZfXCUx6am/ZSUvo6i+MLOsGpLrt02P+nwuuY6tTXhg2iTh2Q9GelXERExsrOXZcDiWFyMY2EBAIm/zDsoP8vREGx0U3Dm6QTqG8Lr3poDn06yMaZ8JmPKZ2MJ2lGkEOOviWP3xo+p/3odbpvC9Q88h/vDO8ipXBjeVwXGDso86Dibr9zMd9tXsnLJDkyYif/uIyZu2kpABxWXz+MGx+lgqsU++HEAYpqSuXTTna0VqAqXXR6B/N6txMS1dvLroi/j+pi1+NACpo31ZVLjKaEsWmFYMdyw/nSSz1/AiB/PRNZJ7BzR+v2IfvMN/vXxx+3aGd3oYYojlw2GHDwhB2nXjmfmsETSog8/NOj0Brj6P2tYV1jPE5eM44IJ6Yctf6JSXeTEFm3C2mYYsL/Rmf67y7bWUCjEu+++i9vtZvr0jsP4tjTgcMLD5/Ph8/nCyw6H45BlBQLN6aN7po/s7Gxuu+02brvttvC6vLw8zjvvPO69994O90kbGkPa0AMCNb3c+naVxcxVY37O1LlzutW2o8VqHcTQ3D/2yrGORyJmpuPdVYe/wEH9B3tIvGkckqFzM4f0UTbSHn+Qit9cg6RTiZ1o4YPxMuBjffrXzJ1oQuebycnT88hITGH8iCE89d1l2NwyBfefxdT4knBdlaYRGGbdxqpJP2LTvi+5btW96ENGTtl/Mf+4cbHWZrRhF0fMjezP/h/2tCLm3fUUsb9+mzp96/BLwDiI586MIsKjcMkPtZhVP2+9CecGA7T9Bk9seIshVX9k27BXANhsKoJma8iuDNh+1iBOnzAbANXvb3fuvoce5qItW/hs/hl4IyKRPS4C1fswzp3MtWdMwZhkO2r/qAizgfdvnNGJK3+CcqJntd2yZQvTp0/H6/Vit9v58MMPGTny4Cemmpoa/vKXv3Ddddcdtr4HH3yQ++67r7PNOCZsXVrSrXTpgmNPMKD0aWK5tnyqJHMpZaQGg1zX0CiSsw0gJJ1E3OXDqXx6A4FyNw2f7CPmws6na7fMmE36n36DYdXvm9e0Wi4ervyMb+feQmJiChvrirh//X+pnFzBmauTWF+XFhYf5bYskv9vBVJztNqpQy/g81Aqn/6tNWiZioLUZiaJLuQjcfkWNueN58L0Kbwy4kzwxuKNO4XqOM0iVxOlw7PgVcbyA3ZXkMQNTQc5LL5lvJ9zq85mf+KWg87NG/KG329fVc2S2c8CYPLVM3H9Y1gMBi70eFgVdBM7JJcpN99CfIYIh36ssNgN7N9Uw4gZKegO4Y80kOj0sIvf76eoqIjGxkbee+89/v3vf7N06dJ2AsThcDB37lxiY2P55JNPMBgO7UDUkeUjIyOjV4dd9m2sRm+QsceYie3IFC44ruiK5aNDQkH49FbIOgniBkP6FOhmuHNB7+LdU0/NS1tBhZiLh2KbmHTknTqq57UHMe99CKckMSO7daZGtjIEV1wK1fXLkZqD6tuCicyKOoPLhk9i5PuXYFIDLJ90Byedo1myFj38Fjv2J7ZWbvRx0R+m8t49GwEwxbsYmf8mURs3ITffvl22VH5y3yM02toL4CfUm0gLlDNrZR2Hwqsa2GZ7Hv35mXxe9xVrK9dy3/T7GJMwBlVVw5aXjtAbZQaNS2DGBYOxx3QtNkcoFKKpqQmz2YzBYMDj8aDX6w/bb5yohEIK+zZUkzupa9/TY80xHXYxGo0MGaLF3Js4cSJr1qzh6aef5l//+hcATqeTM888k4iICD788MMjfoFMJhMmk+mwZY41OoNM5qiDvbEFgsOi08N5/+jrVgi6QJUvwCtltZRWOonPNBO9yYnh39tYoJdJGpdw5AoOwHT57/A9uZEI55esKDGxZOhc7nN/Q4G8F+r3IgEW22guG/ETbh1xJnpZEwk/lN/NtOV/Ytrax9mSNZnUmOnthEd2fCnz/ngp7z67jBYPIo8vyPgX/kvI62LXl99S/snn+PzDmb3Fw8fTWh1mF6jvk0QlySk3An89ZNu9oR+RVJcAL3n4zU23YJza6v+iBA//bBr0K+xZU8meNZWc/cuxZI2OO+rhltraWl544QW8Xs3CYjAYSEtLo6CggIiICG699VYhQA5Ap5NJzY1mx4pycicnotPLfZNuogfotsPpnDlzyMzM5L///S8Oh4MzzjgDk8nE//73P6xW65ErOIDecDj1ugJUFjrCzoDuRh8jZqQek2MJ+h85OTnccsst3H57a1KrUaNGcfHFF3fO8iEYsPwlv4xni6rCy7/+qB6bT8VmkLjs/umYozr/FK+GFEIVRehSs5AkiZdX/o+H9j1J0DSEH8VewBNz5h68j6Kw+pUrmVrwKQCv1t+Hwze2XZmQQUEX0CxqQV0TjTFbUPS+dmXiq1xIofkEJy8iImclqZRiIEhOzm/Yt+8xjL4Qp6xqzZqrykYafNfRFJqNPiWOQHMsD8kgk3jLeAyJrffuzYtLWPb2bgDy5mYy7bwcNi8qwd3oY9M37WdsxWfYufQPUw55jYLBIC+++SH5e3djlQJHvKZnnXUWU6Ycur4TlVBAYcvSEpx1XiafNQizvX+ItGNm+bjzzjuZP38+mZmZOJ1O3njjDZYsWcLChQtxOBzMmzePpqYmXnvtNRwOR9h5NCEhodthoHuSqkIHWcLSccKSkJBAeXl5eNnhcLB///4+bJGgR/G7IeABW/tZQgWNBTy4+kFOMZ3Cf33DQN96w96eYWTyXh/ugMpXj63nnPumIXdyCE3SyejTssPLV00/i13uQbyk8/F+SOWG0kaGprWPeSTJMmMu+yd7/76DIa69/CT6Hv5R+WG7Mi3CwxFZit+2B6OxCZ/PRtu5VDWJdmAZI+w/EE9heP2+fVpId79JR/EZPyWjoBZCAaTJ1+L7PAG1qiksPECLf6K4AtBm1GfsqenYoo18+a+tbPy6iJScKMbP1XxbTr4olx0ryln0yg6tHcUumhz+djMySpwl/PSLn1LjqWFy/CwWbZsP5DFOV0qevozhw4dx8cUXk5+fz8aNG9mxY0d431WrVgnx0QE6g0ze6Zk0Ofys/6qQGRcMOfJO/YxOiY+qqiquvPJKysvLiYqKYuzYsSxcuJC5c+eyZMkSVq3SQke3DMu0sH//frKzs3us0d3l+PEXFnSFOXPm8OKLL5KXl4fdbufJJ7UAUIpyYKJ7wYAjfzG8cQmE/GCNh5ELYPovqbVG89MvfkpcVRwb3aW4p7XPmJqaa+fcGYP49JWdFFd7Wffydib/rOtZVUuqnPxzQzFvyz5AwqeT2FHpOEh8AFjNdsyXvwbPT0OS4IrEq8if/SbbS6JwrKjGJamsMgdYL8fy21E/MCw2n5qy6RjVKxg1fjjJ6fF8/Px7OCuKsW+4nKiRK2mM2giRrZYOOZBFxpy/Q5uJidLC9Qe1RTLrMOUc3MbB4xPJOz2Djd8U88XzW7DYDVgjjVgjjUhyqwjKnZTYTnh8V/Idv/z2l+HlNTVLsQ3ZhK/ybDY5xzB/xjh+fPZUAIYNG8awYcMoLCzkP//5D4AYdjkC1kgjiVmRhILKgHNC7ZT4ePHFFw+5bfbs2QNiGlB1sRNHtefIBQXHLXfeeSfbtm3jxhtvJCoqiptvvpmamppOP+kK+iEFyzThAdBUA2tfhLUvMntQJuagmby6PEqjD3Yqz1T+ii/qGiZNSGHDhhrWraoiZUQZ6dM6Nxy7Jb+WZ3eW8Zk5SNCoRZjN9qrcEB3Fj/LSDrlfeuoIPj75JVj6Ag8GLmemEs8jVw7n7ZS1PPZNJWpz/+7wa/4Y8akrgZX88Nq5VO/fE65nJ7CzAEy2iWDYhySrGM1WLvi/vx90zNjLhhOs8WDMiKD8r9qDo/nA6eRtmHb+YBqqPBRsrsHjDOBxBqgtbbWa2GNNnP7zUahBBVVR2Vi/qZ3waEE2NGBK/JKgcwyPf1/FdfOVdr+9rKzWGTOFNbX86uvvGD10KFdnJGGQB6Z/w7EkfVgM+RuqSMqOIiph4MzW7LbPR09zrH0+Vry/F0knMfGMLIyWEyuktKAVVVXZsGEDNpuN2NhYEhI672Qo6Ifc2/zUrjfD+f+Ed68GYMygTBI9UZxbNYGYscvQKXacUXYkScWOk2QqMDQlkPP9o+GqGkMqw34/GX3cwTf0UDCETq8NJSshhaVbynmuuJrv2gRIneCBG9LiOXt0KrqjDIp36QcbWLW6DFWG314+ll+OzuC+12/iP1vOBuCKsfs4N70WR/A19jMY/1rwrjMgATFpU5Bkiby58xgyeQjP33hVuN6rH3+OuPRD50sJOXy411dhn5KMbD20tUFVVTzOAE0OP00On/ba6MfrDpA7OYn4NDuVT6xD8Yf4SeIdVBs064tO0rHmJ2v401eP8XnlG9q6HXfSQBSvXjGCU8bktDvOkiVL+NeOfBYPn9hu/cYZo0g2CWtIR6z9ooBJ87P7tA2d6b9POPEB0FDZhCRLA0olCgSCo6BFfMTmwK0boHo3gUensmZnChtStad/p6mWN/Pu5750FzZJhyxr4b91vkiGLH2mXXVeY5DCLBcOl5NGjxOn341LacKnBjllyBRqc0bwr/oGttmas+aoKqf7dPxyaCrTBh8cmfZIBEIKOU8tRlftRbHo+P7Xs/A7nJz+tzUARJtcPHvjSK7bXkGtdLBgTmys4XzZx7SKfWz/tjV66uwrf8HEsxd0uj2dxVlay39e/xuTXaNIjUnjvJibCEodh1ffsr+IfwTP5ZHgZWz50xxsRiOuWgf2xChWlpRzYX71QfucGhvBG2M1oTJQZ3kcK3atqmDIpMSjFrrHAiE+DoPXHaBgcw3Jg6OITuz8bByBQNCPeWEOlK6DaTehzvojFbdcRsP3e1GGJrAk9d5wsS+HvkhB3GaeymhNKqf3RjNo2ZPIavtO7XPDesp19RyICnwxehpFccmYQirnqyZuGpvB0KTOh2pvy5oaJxf9fTmSN4Rd9uMO6VGl1g7Fe8ahh29amL52ESevXYQtJpYJ889l4tnnoTvKFBdHi6qq1Dh9LNtVwaTsOOxrv+O0st9x6TKFhgSFP1vsNJam8rg5n7VDJCpjpZYd+dsPDkbVhGgcHsHpwccZqqvix3IThbpqIrDw4cgx7E04/JDXlxOHkhcp7uEtNFY3Ubq7gZEn9d3MzV4Jrz5QKdpWS+aouH4dH18gEHSRuCGa+IhMo2D+VLwV2lO3vLsaUhSQZGqsJVRG7CdQP5mPfFYWDP4CSYIM4+1h4aGiEkKh1uAiLiaG9OgMoqKiiImLITopjrcXLcVRvY/TdqzFOXEed58ylsSIrgXZaktIVclfv5KL973LBykLcCnGdgmClMjWIYeHE1WWl5hYYQxQc4AbfVZKCpfc/QDpI8f0vIUg6IfNbyF9cgsJwEkbI6nbaee+C2Su360ya6sKSChn7CchYw83LY3F/a2ZpmgFY1QAe5Meb7WNamBx/LPcobWYJiBr5DZckpfRJeaw+JjkUllrP/gcbt5RyBi7hSeHZ2Luw6f9/kJdmXtABck84cRHTIoNd6NPiA+B4DjEX+fFX2ai9s7H8Va2ioGsx35H46r9PB9IAimC6F2/xKuP5lPgpJLTOMkfh1+nOarWmFyMvvN09GYD2cDEDo5z4+Af86fnnsdeX01g2zI4pXtJ+dzBEG9W1PG/xYs46bNXSQHOqlxIYVoevzojjxlTRjN44VZUm3bL/veQSL73GPnWUoc7pAkPm07m4uRYrk6LY7gtr1vtOSRBP7x+Iez/DoDKZuEBcPuHCuWxrUVDfk0QJJ/awJ4lCVjLdNBgoiVouyMy++Dqi09i5Py7GeHdyBWNXxFrmoBsT+UKzxTKLO3DNext8rG3yUea2cgfB4s4TX5PkJQh0X3djKPmhJKL7kYfdWVu/E3Bvm6KQCA4BuQ/tobi7+Joqmxvhdh/11Ps2lcJ6PhFlJcNj17OycYKAF7yGlAAU0uO+Vw7evPhnRotRgO3/vQKPCYLdreTR15/k2AXpmqXef3cn1/GhJXb+eOeUlYntzpeDvIUck7tMuacNAGr2cIzsT4MihaY69q9Dv5bWoM7pJBrNfHX3DQ2zhjFQ0PTGW47hr5sD6aFhQdA7DBX+L1OhfTa1qKmaK2tRkWh/nrYkRHL/8YN5ssxgyibNQnflRcR8u8i6F2NqmiSJCF3MXLAgmRuxB+5kwrTG5SoT2AxHjoOz4slB/uGdIot78E7V8Knv4J3rtJixAwwVEWlfJ8Ds23gOOOeUD4fqqqyZ00lOeMT0Hcyg6VAIOj/7Bg+4pDbNsYP5vGJl/Pe1ePIHj+KJT9s4uqPtORu1zXuYJ4xiZBdx/g/XIjRenQpH5bu3cfXb7yGXlGQR4/n7ouOzqlzs7OJ54ur+aiqnpYI5jkWE9dlJHC2GfKXfsvyt18FIG34KPRGI4WbN1Ccks075/wMdDrOjI/i5+nxnBRt7x3nS28jPJTZft3En1Gf+3MqzruEtuND22OzcMyJ5Gf6hThUK1/mZSBVBClaktKuXAuyPguD/QKMNidX/uEU8tc9yeZgHbdbrsOiuvFIhx9OqDg1r/PnEwrCv06Bqu0Hb/tjFej7Nu1HZ1BVlc2LShg7J71PHXGFz8chkCSJIRMT2bWqgsSsSOLS7EfeSSAQDBgiz/0Rjk8+JeH//o9QXR31q9eibtMytpbaE3j1oqFEDxnEb1/6mo92ewDtIaTeWIP1J6cwcvLUTh1v1pAc8k+dS9G3C1G2buC/qSlcPaPjiJyKqvJNrYN/FlezoqHVYjA92saNGYmcHheJ3NxxJFxwKaqisOLd1ynduQ0AWafjnNEj+GlGBGnZg3p/yqk5Cq5bqiVTHDwHvn8S1v2HyBk389oDYzn9rtbMuCPrCpkffIwvUsZxcmYVqbbviYlqxFVhIbAzmZzYGbgC9TT6q9HLRqq9JYR86/HJE/nP5i/4wjKW1cGhAHgkGzbVzTnAT4eNZFJaDFdv2ceXNVoEbVNXY3/858yOhQfA/Ylw/XeQMq5rdfcykiQRm2Zj34ZqcsYnoKog9/OYKCeU+AAo3d2AyWogJmXgOOYIBCcaayrW8Mq2V2gKNjE5eTJXjLiCCGMEtZ5aZEkmxnxwMKw1FWugqQI7oCohkn73WwL1TTina14bZxf8wBP/O4VlnxbjlY2AjniDn1tmpHDV/Ie63NafnzKde8vKYcdm9nyzkO+TEjl5cHZ4e1NI4d2KOp4vribfo+Vk0UtwbmIM12ckMC6i4xkb0y68DEmSWPn+W6iqwkV/+AsZo8Z2WLbXSM3TOmWvQxMfwB3vX8jKkMwLv9Nz+f4QC95RWZKWh39iHN/Fn402SPMzrlP/zqxZi4mVbibBm96u2tU2uGOwjDvJCsQiBRSS/dVUmLTpxFP1QZ6eOStcPtBmhGvx5OFdO5eSNa3vr/oMMqej/iWBhr1mAm4dcX+fhXx//YCZ0psxPBZ3g499G6qpLnYSk2xj2NTkvm7WITmhhl1AS0lcuLmWnPEiqJRA0F+56ZubWFa6LLw8IXEC1429jhu+uQGAKclTuHXCraTZ04gyRXHLoltYXrqc2z4KMWPHoW9pF5x9Px6DmaSmOhYkevjZZadhDAWJGzasW+0NhELc9a9/Y6sqp8li5Zbrb8BksfBSaQ0vl9ZQH9Rm3UTqZX6aGs/P0+JJMx+d03tdWSkBr4eknH6Sv8Pvhn+eQmVpJXudcfxQ2zoUU2/3s/2MIaxIuO6g3Sapq7g19AS71lzM2Y7T0CPzZ10DjpCRVZKC1Pyx+SbH83+ON/hN4X+5dMxjLI2dHK7jWouDP+RN4p8VDh7er/nszIyx805eJ69N0Sp4aR4AqgqlazJw7us4Hkn6P5/DNnUqsmXgxIVav7CQnLwEopN6dyqyiPNxBJx1XqqLnNiiTSRlH5tjCASCrnPtV9eyqnwV2ZHZFDgKjnq/M9YpXPNVx46f7+TOZmHWVH62/X9ML9uKrs301KZx47BfcjH6+Hiqn34GvB5GvfgiESkpR33sCoeTJ/75L/Q+L2sGj2Z7chah5qfmTLOR6zISuCw5Frt+YPubqV4nT1z140Nul+QY1k25gW/z2luXM92NXLzme7x6N6NSavjj/jNoCrV3DJZRuF//EpfrFwHQoLcz/KTPj9imTvt8qCrcF03J6iic+47OCj588yYk48CYJVm2t4Gy3fWMmZ2O6TARa3uazvTfJ9RslxYiYs3k5CVgiTBQsLmGgi01qEq/0mACwYlN88/xxnE3ctagsw7arJcPHjHOiszioac24X3kDkpvPAfnA7fhbO7bHMPT+NPHz/Kf2RGcXLalnfAAsG7ahPKHP+K//gaitm8nat9+Sk6dQ/ny5Ufd5OTICFJnnMJLJ5/DlpRsQpJEstHAv0dls3LaCK5NTxjwwgNAMrcPonbymbOxnj4Gf4bmQ6cq9UzdsplffVJPbllznh1VJSW0i8wRy5k67T2icr7lp6PebK0TlWFDopFQw8ID4IfTnuZ/mUe+N39fVXXY7U7nNhodm1BVzbrhdLmoOu/LDoWHO9HG0LVrSH3k4Xbrd44dR7Cu7oht6Q+kDokmZ3widWXuIxfuI05Iy8eB+L1Byvc2gqRNWTKa9aTmRvfKsQUCwcFcs/AaVles5pGZj3BS2kl8U/gNvpCPNHsaM9NnArC6fDXPbHiGem89p2Wexm0Tb0OW2j9Pffyz0xm6spTSn87h9D88C4CvsRGdwUBtfj4hj4fGK6866PhtccXGMGHxYnSmQ89+WFVcxh+25rPVfHB00/fzBnNSTPeinvY3ynbv4M0/3RFeHnvamYyafTpv3fsoaqgSSZ+GYcI8dFEKRYY4XJH/IUG3minWIEYZfE1x5ERfQXXUBG56twyn3052dB0vX3MG9f8ehQyM8Pnx3VGIo3EvxRUb2fMyVCqD+XSyjZ0Z7S0QV5R/xuPzLoX43Hbri4peZM/eB8LLBsM4igrPZ+/efAByN3zEhF2+g84vavEnpKbkoqoqO0e0xnCJvepKku68sycu4TFHVVQKt9YSk2IlItaM3AuB2MSwSzdxN/oo3FrLsCnJ6AwnpHFIIOhTfr7w56ypWMOjMx/lzEFndrmej68+naE/lFJ69emc/vu/dVhGDQRQJIntzz2H/tl/HLKu4E03MfqWm9s5IO6trefOddv4Xm9DlSQkVeWkgJs7xg3j4fJGVjS4yDIbWTFtBLoB4rh4tBRv28w7f77rkNsvv/9VPl7zEF8417LPrFkmptiCXBGnY+KEN4iK0pxnN+Sv48pXt6CkvYRsbB/GPsal8NNvVIKx96IYWnPleAwSW7OMbBpkwmmReWHDg5wa+ArubQyXCQQa+XzZTErJYDB7MBBEVSV+WHkRwaBmEnt/0PsAzDbO4Kb7vuNwGLOyyHjheYyZmYct15/wugIseX0nMy4cQmT8sfdZEVNtu4ktykROXgJ71laSNToOS8TAGOcTCI4Xws9E3eyvpXA9h36IkAwGdMCYW25Bvflm3FVV7D77HCwuV7ty+n/8g9IJ40k/+WRKGp1M/nY7aqQRDNpww2ivk/tH5/ClDxbsKA3vV+j18329i1mxR2f9yM7O5rbbbuO2224Lr8vLy+O8887j3nvvPao6ukIgpLCj3MGYtChe2PIC66vWc/nwy8OWpgPJGDWW8357N1sXf83eNSvD6/VSiGHRDuataN6vjVvHareey2ObWLvufGJjLqCmJov8/D1clu7gLX09qCqDy+Gni0JkV4LVD03WJCJyk7HKEuUBBXdIxaWoDCr088uyILUhFaMuBYbltWvfXq+BG6SXw8uXKa+Qs9/PV02jGZ0WSaTNik75mJAcJKTTEfPl+3zzp2vI2d5AzAGjFQm3307cz64eMD4fLVQVOph1+bB+2YcJ8XEIzDYDw6YlU7i1FkmSyBwVO2CmXAkEAx212SdD6qb6kJpDj0vy0VkwJUnCnpTE6KVL8NTXs/+sszH5/eHtxtg4HnlnKX/f6cHUFEKJNhIz1sqfByezoLnz+3h3yUH1bnY2HbX46As8/hBX/Wc1q/fXgc5NxFDNSlTnqTuk+AAYPHEKgydqcU22f7cI3ZrnGOb8Cu2KHWwhiNO1OgPX1H7Exo3zcbqjcev1TDVMImvXGi5a0X7WiVXxYW2OWZFikOEA/8kUIPHqy2HwIwD4FYV/FVfzVGFlu3Jv8VPMe8sAKCoG8BIxQot2PSFlAsnZI8l+6FH+suIvxGwrYfJulZFFKomPPkT89GOfEfhYYLYbKN/bSPa4+H4X90OIj8MgSRLZY+Lxe4LsXVvFkEmJQoAIBL1Ai+Wju+KDFstHJ2+8RpsNo81GyisvU3eZNrNjc1wOjz+/jipzTNhTX27wc4YxnQXDBof3vTkzkTfKa/EpKqPtFk6Li+SS5NgOjtI/CCkqt7y5XhMegN6+I7xtR90O8hvyGRw9+FC7hxk5cw6svAYAI/BSeSU/T0lqV+Zki51ZM9fywYdnEhdXwvBRi7irWvtsRtQNI9c1Ctjcbh+pjWeAcbAd2WAkUNVEqM4bXv/ZRzrQb2PyFUOZvDO/3f7nGEKscTRRaWwfVDJiRKvvxlvFX7L263UsL/seAP+oZEb/7Pecnnn6gL7nJ2ZFEp0YZOvSEoZOSe5X4deFQ8NRYLToyRoTx561lWJWjEDQi3T3xh8Ias/gQTqfdwUgKS8P08MPU56Uxu9OuYkqcwwSKleMtpOUEwXAO9/sI++ZJbxRVM2rZTVE6HVcnKSJja0uD0OsJpJ6OxppB/gUBVdzvBFUFXwuaKrjwUf+QvLu1zEQZFRqJLKxpt1+xc7ioz/IBc+H3072+vg27/dcbcthgteLTlW5bdtu9HoLM6b/jUafgYZ/KPz3iSBvPBzknn9tI6NIy+HiMUL8N5+Q+v03DF7xTbhOeZyZ+KtHYb20NS7Lfl+I8gIn5XsbefuZjRgD7e/RnwV0VJrtXFnk57dxUcQ2C1p/6cUk+mOxhExUBnaxvOx7dJKOK0deySfnfcLcrLkDWni0YLToyR4bz541lUcu3IsIy8dRYjTrGTQ2gV2rKhg2Lfm4+FIKBP2d7lo+Gr2aA+OW2m2c0cU6chacy12FEVDWBICKxFgT7I+JpHKf5uDYUObmrn+sxj8pnjvi2s+KeaG4mos7YfmQZZkD5wEEAoEutl5DVVWylmoWhd8U/IffFP43vO2PAAaYJ68l+fwPmPfsPNRADMb4bxgTcRanpJ1y9AdKmwijLoBtHwCQmDqJq7/V46lKRcKLUf8WAV8difZkkj9SiNnb/vONbXAC4DRZWfXgI9TXVmOz2pmSeD0A3g9q2PvuQsy61uBZ/uGxjI40sXVpKZb6AKdubmLhRG0KbV6ElU3OJn5TAZfu1oTouUSw2aQy1nEqOE6lSfJyU85fcZpVXjn7eYbFdi/gXH8kMs6CNcqIoqi46rxExJn7vA8Tlo9OYDDpSB8ey/6NNZTurj/oBiEQCHoGlZ75bcktoy5y9+JrPP+Lk9ot/26di4dGxXHGqdnt1hvX1iA3i5QWzk2M7tSxEhISKC8vDy87HA727z90VtejocirdbySEmonPNoyU7cF9bUL2Hb3aQQapuLe+wd+2DCe61/dQEl9U4f7ANBQDPdGaX+PDgkLD854EGXZP/BUaenuVcw4glez58m/kj9tFjFLWz8T2/23EXHtz8LLic4mdlWXUaUG2e9uYFH5G+FtbYUHwODcaLYubXXwvWFwMhWn5lFxah5fThpK+al5XLq5vfPwWF9rx2tVzSzI+Tsrr1hyXAqPFmxRJgo217B1aSlKsO/7LiE+Ook9xkTO+ARikm3s31RD0fZaAr6Ow/IKBCciqqK2/qlql0R6T/l8xJk0i8OElIndqifSYuSpUe3bMvOfGzmlZB8FD53NlnvnMSlLyzeTU+bj6eGZ3DM4lVXTRnBzVlJHVR6SOXPm8Mqrr/DsB8+ybuM6rrrqKnS67omnLIuJJ4dn8MuStzscgHLJmqVgmG8L/qcmsOFPcxmZZsQQ8z3fN/yNvy/deOjK3W0CfKkhSBoDF7wAq5+nbm3aQcXtxdMOruKPTyFt+Jbg8Nbyo11VpEbFkmixo6q1bAp9Ri0VB+0rx7ZOpznrxjFMP//I/iktWCYkkvKnadxy2uh+55DZ0yTnRJGTl0DKkKh+EUJCDLt0EWukkZy8BEJBhX0bq7FHm0geHNXnpixB1/F6y1m+4uR263Q6O5IkI0k6QEaW9NC83LpehyzpoM06Cbl5eqfU2oGGvxut3xGXawfBoJadMzp6KqCiqgpaiE8V1BYbgAqq0mwRaNnWYiFQmsu1bANVVbBY0hkz+h/odO1DWB9L6j/ai/uH8iMXPMLP5K/qL6jR1+PoOEHs0aNoXa3UTcsHwKD0eNhW3W7dH/fI/ASIMBu4bmYOa19dR0ltE397ZSPTc+JQTrWBpXOp2e+8806Wb1nOb678DQabgb898rduWz4AfhxjwFv6JjIQkHQsHXcr0zf/E5viwa60zi1VgpVc+eJVFNnzMUd6APhf443cHViJ1dBBrpDEke2XF/wNCpZD/X6i9f+mwj+93WY5ouNkZ451Re06pOGBGt5rrKXly1JTtI2daBl+LboIIo1xNJjOR/rnVlRVJdD0JR888ATzrr+Vst07Cfp9nHzZlUQlJhH74+HUvbkzXLch3U7MgiEYM/rvDKRjgaPGQ3Wxi0Hj+j63mQgy1kN4nH7K8xvJyev7D1XQNVyuXaxafXAo74HMhPFvEBPTuTTx3aH8wVWEGv1HLniUlM4PMnXWqV3e/7MLZjB4ez21t13KyTfc2+32PPzAqzznaPXfiDHV88TFg9BJ4Pb5efrb3fiCQWRUJEklN9HKA6eNxx41EkN050WgJ+jBou9ccChnnZfGqibMgQbiRmRS/oc/0rR+PRkTd2IytwbhqjbG0WCIIte9DxX42G5ji8nIx3YbvkNMTf7g3A/Ijck9eEPldvjnSaAeYFfJmIZ69RconiCbVu7D920FY+XHsOqXEfToCLh1GGwhat3j8W3dT8gnE/LLmGP92Md6eK16OqrOgCzLSDqd9irLeBx+0KVjsM4HIOD6CCV4sEDTGQxMPe8Sppx3Eapbwbm4GGOqHeukJKTj3NLREaqisnt1BTEpNhKzer5/FUHG+gBLhBGDUUcooPQLk5ag89jtw5gxfQmbNl+H2737kOWSkn5EUuLZ6PWROJxb0OvsWCwZqGpI+0MBNdQ8dNBit2jR+M2vzZrf76+hvn4len0EcXGzm60jUrPlpGXYoflPklqX275vtwxIMhs2/KT98XqL5sPFXzMaQ6q9daqrCkpTADWkIlv0SPrD/0bWPP0Z6a6Ebg+7qGqL5aNnfpO/u+un3OZu4hcPPclVp74EgFIFCtr00js6GN1Znw9J237GkDN+iXloTKeO11nh4XUHePv+1fiagqAqDNv9AGnlWn6afcU2zLEG4ke6sKd5SfDX0iBrloxfJcaz2NZq1RgcMHDmuD9y5tAJ/Hzhz6n2aBafn/zvJ6y6YtVBx1UTR+BI/jX1r/2H+FEu7Mk+SJ0AP/0QSSejsxuZMHc4nn03YSlfB4DBFsJg04ask21rYQ4g6yH3DNTEEaiTf8EtkYdOCe91B9izppKV772Or43wMFlt+Jo0S04oEGDFu68TmZDIqFmnEXNeP8kM3EdIskTO+ETWfVFwTMRHZxDiowdJyomkcGstOeOF9WOgYrFkMG3qF6iqyrbtv24eEpGorV0cLlNZ+SmVlZ8etG909FRGjXwMszm1U8fMyDh8bpGuYLXm0NS0j95262qROrLVgO6AmAK6TkRZVKTmJ+huP5w2+44cJsJpZzHZrNx02nLcbR7ynf4YFCRUVUJFwqTXE2H0Ego1ACCHDNS+sZO0e6d3XGkP4HUH+Ncv/4aqNKA3TwZ07Bp2OUlVa9GHtPwl3jojJd/HYsvwE5iqJ9erTaNNDLX3W/OYDVw9eg5mSzSLLlnE6Fcm0Rh/K42qj/t2buIPQ8eilyWCdXU0rVpF5aOPEiwrB0zU1Y/GftsNMPhUMLQXTy3Co0OGnQ2n3wsJQ8Oy+nCYbQayx5j56rll4XUX/+kBZJ3MBw/dR8CrDRlZIiJJHzH6KK7g8U/htlpCfoXcKZ3zQzoWCPHRgxjNehKyIti3oRpLpJHknEjhAzJAkSSJ0aOeDC8HAg1s2XoL9fUrDrlPQ8Mqlq84BZ3OxqyZG5r9QfqKlrDivfz96ylDS3M9ro0VfOp8C0UN4a2upt7QgCQ120PaWHskNIEhqYQtRhISCU5tiqpM5z8LNaCATurQPD9u9LOs2Hw6ALaGVOacv+Sgz3vD/66nzvwNRmc6ERXTUAniXluBbdKhn+a7Q/neAoIeLSNsyLceANmQS8yDT5J+7qkEq6rY+9MFfJU4iueHnMM3ym3hff9YW09yynSedm8FoCzUxCff3sEl57wAQE3Gv8NlnytX2efdy30fvo73gw9oNKdSnH4GKZ4fiG7YQ9L9j0NuB0MzAPMfgS9+235d7hkw+/eQNqHT5+z3eMLv7XHxlOzYyuqP3yUUCCDr9Ew+9wKmnn8JBlPv+T31Z5y1XlKHRBObenA2395GiI8eJiLWTESsmbI99exYUc6wqcnojmBiFvR/DIZoJox/Nbzs99fgD9RjNiXjdG6jovJTysreAiAUcrNo8VBGDH+Q1NRL+qS9PRYhtKt0NzBp809maFkalLWszWRV9ecUuLYedT2Dml0coh5/hXX//ZTAcB/uKxoAMJc3R7xUJVBBUiSkkKy9SlHIxgwiKidhK4lHVVWKjR6+thVhC6pY/U1MmBkkpiGApOZT+sYMrNG5mMf8DGvmaeze9D6rzYUMQmbYsPvwr9ROqP69PQTrvETNy+7eBeqA/DVfH7ROCewhpAaoqanlX0tW8erNj9Bgj8D4QxXzGx9kg/mGcNkx+S7eOv9xLlv5fwA4vLUdH0hV+f1l5+IBXNYU1ufdhqIzUpk0GYB4QxKHfK6eej3YEyF/EQw+DQbPAXPXzf9x6RmMmnU625Z+g6u2hpXvaVNyM8fkcdrPbyA2Nb3LdR+PjJ6ZRsnOOnQGmaiEY59o7nAI8XGMSM2NISEzkq1LS0nIiiB1SHRfN0nQgxiN8RiNWpbNmJhpxMRMY9jQe8nPf5Si4hcB2LHzzj4TH73u69HDx409fRBFy4vQhSTkkEx0gxmLasFqj8UfZ6fVTb59RJA2c4MAFW9x6y3OWluPm9bhBW9K+9gP7akHCnCkLSNFfx32iul8bdasCm69hEdvYfrahjbld2p/az7l3aR53DLsLiy+exim382Xw2fjv9lJ1d83AuBcVEzThioSbxyHLrJzM2EORfH2LWz6+n8AjD71fAp+WILLowVY+9OGFXxnisSbkAFAYmM9M4fAZ+siyfa+wb1Z6/lJxRNM9XzHdx+uhuREAN527OL86u3EJYykaOYoMr/TZpqY/a0p6PcOuQBF1344bdHC/VxwzWhM+kNYm0adr/31EGfedBtGi4UNX36KPTaO2Vf+gqHTThJW5w4IBkIUbq1l8jmD+ropYrZLb1BX7qZsdz2jZwkVfiKwZOk4QiGtYxs+/AHSUi/t9TasWHEqHm8REye+Q3RU92JcdIay+39AcQVIvHU8xlT7kXc4SrY8+BExjXE0pjQy6lfnHPV+Pkcjxe+/T8jrQQmFaFC30TRKC9c9hBtpmbas/QuiEkQhiBIMUdewHXf8FozOdEY67+Vve5eG671Beptktaz1OBYbJk/rdNW5af/kySf+Qm1sPJkZYzEOysGzfgeSKQLjiAVIkoz5wjTiJ+d0+ZrUlhSh1xtxLS+letkeGv3V1PsrmXLNZRgjLbx1/++pthh54fJfo+h05FZXcEOEgUtOO4VXdlTylze1iKePXTWBwZ9czXjPDxTq9ZyT0bHPUoR+EPtS/wzA0IICnn7qYVZM/+tB5Z6L9IBFz5zhicwfncwZo5J7JYaGs7YGa1QUOn3fh7Lvr2xZUkLmqFiiEjqYMt0DdKb/FuKjl9i+vAyTRU9kvIWEzBNrbvmJRjDoZN36y3G5tgMw59Tdve7/sXzFbLzeYiZNfJeoqM6PpXeVsPj41QSMKT03rtxV8XEghbsWsrf0JgJNRs48Z8dhy1btWMKW8mswepM55azluKscPPqPJwCIo45beBlFldntnYmqShhkL4NMa3hm6M+Rt5qY9+H7HdZrGDQLZeS5LKp9E1OMjbwzz2HwxClExice9Xk8fql2DS4d9LvDlns0V+LtHDvpZQWs/vG5yLKMoijk3PVFuEzBQ2dr0Umb2WQycntiPDZHHiDRZGgkwZFIRpmb5OomXjvvBq5dqnVeqhpCCexGVZzIhhz+E23HaYRAqLVb+f384dww6+gDfwmOHfnrq4jPsPcL8SGGXXqJkSelooQUKgucrPwwn8TsCDJHxeGu9xGVaBEmwuMIvT6CiRPeZOl34wDYsPHqdv4ivUPLzb9vvlc9/3VW2710naNvmLtuDwCyakFVVAzV+8nRm3kzfRD1tghe4hKu/bZ9TJPhlm85ZdyZ2P5yXXidaewsfKX5UFsCQGD/Ur62FRHQybg99Sx66Z+sfPcNrvvHf9Ebj35GkFE+vBOlQw+fZmoC8I7cbOTm6cbPbikJl7nmHC2c+KPRt3NHg+ZgPdbr5+m9Y/iu/hcAqGoQX8Mz4X3O++p1MP0CVQ3gd76DGmpOWOb5nr9f/zDTJozknbXF/P6DLQCkx/Stb4GgFXusmaC/a0kWexrhCdmLyDqZlMFRTD9/MFmj4yjf20Dh1lq2f19GTcnhxp8FAw29vnXI4XAzZI4dfSQ+jpEdtaeqbRFF0lHUWF/3HSkVXlLKCwjePwHjuzO5NPQY1kg3BfGpYeGhqn4C7oV4659iU/lmfrbL3a4en82P/ozWyLkBWWb8Be19geyxcciH8pHogG9yf4xf8fK/kn/jDblp9LePvKqoCpdPt9Kkl0j0hbhwQutUUzWkMrihlMENpZhcDhZu+I5nKyYzxfsstYFM/lH5Id/Vtzqi+h2twjnzjGnc8a9/M/wUIyHftlbh0cy3/32BhiY//1leAMC8kUmcM7ZzU88Fx4aGqiYaKpuIS+u54dDuICwffYTeoCNzZByZI+NQFZUdK8tx1XvRG2TShx99BkzBwCAQaMBgiO69A6qHn2qrqi2h25vDtKuKtovaHN69OXS7qjT7RLTkaDnwFVAVJVzW7W/EqBhxllQhu40HHxPaKAmVgN+P1+lA1umwRR86AJfe1zPDVs66OgCUI4w2q0qQCes+aV5yAVrnblID/HPHn8mb/h5vnWzn0mUOfA1/b91Phavf+TtX3PMwr9/XPCSyciXBlSvDZQyKwuqP3wsvR8QncNEf7+9U8rtBI4bzReM8Rjp34CzSjm/VR5JhG06mbQRWSzIVVh3JNVW8+adfsafNvrNkPXOVoLawRHs5Z+z5fD5oBm/VPt3uOOddHOSt5+vDy8aGNKxGG5PPHM3GTx4Krw/Y4jC4a7FW7+XG/3uQXTGTSYwwce+5o476nI43fL4qXK6dxMae1MfT7sHj8rP1u1JOurD/BFkT4qMfIMkSI0/Sng72rquittTVb9SpoOucfNJKvl+uBZXatfteRo96qteOXbVDT8HiYWx64U/aCrU12uexxiRbOfud6zHIRzeE0GJ+ddN4yDKRaMLE43B0q22ho0xN7yn8iraj4t6os3guKo7bi14lIVDPjuXnsiTuNL6KmcighoP3N5Y4uPOq27nz/ReITkzEkpyMt7qKppIS1qe2f7g49errsEZGHVzJYbjrrBGcvKWCvbbB/HhyOnOinax551Xq3NvY1bganTUJu+96It0HW1SNLcKjDb/c/CELB52EDMTpJQIqXPTXPEzRMfx6zlyeuOxHAOxd9T5f3b2HPbs2t9vf4G6dljvUtYeCrJN57ZqppEYfv0Mu3kCI1fvrmDIoFrOhVVyUlr5Fk2c/xcX/RVWDZGT8nNwhd+FetgzHwoUk3n47+vj4Xm1rY5UHnV7uV8P7Qnz0M4ZMTKRsTz3f/Hc7QyYmEp1kJTrx2DgHCY4tJlMiiQnzqar+gsrKT6mu/prRo58hMmIMJtPROxd2hfp9BpSgDB3mMO1BmgN9aYG4JJRQEJ/ShMtfR6Sp4xts13zcVQKKn0p/Ybeaa4+JpbrqyINR/u1vYQV8Rhn9Lbsx2+O5TQnx7ueZTFjxLaX+0VTv3sIg/zcd7l9bbafcEkfqxx+RkdY+s+s4VaVo6yaWvvoiqUNHMGTSwVleD4fDG+Czza3J+95cU8IDD57FKcNj0P97JjudCYQCe/jlig8wyAo7aB32aDKZsfq81CQlE1+pZYg15MzBPPYyFgNEtx5n73/2MfS6MRhsRi56+F+897vrAdjSLDwMwRCROgNNfh8ekzbDxJSUwcQzLuEP82a265CPF/ZVu5jz+NJ260akRPLuDdOxGXUsWToSRWn1A0q6y0DA/ypF4/bStPIHABrf/4Coiy4EIO7qqzENOfbWCFe9j+nn9S+nXyE++iGpuTGkDIlGkiT2rKkkKt5yQiZBOh4YMeJBvN5SHM7NKIqXzZs1R0SbbSijRz+D3XaISJA9xOQLzmDCvCsA8DodhEIhzDY7BpNJEw6SFH6VWvLKyM2RQ7Wwoc2Zejlgm9ThU9Tjl/0IVBXrT7LImtTdlLStvHzHzdQUF5A6bOSRCx8GfXOkyyP9now7tIBd7kkXEBuhpUuQdHri9w3ny4ZJqGoIn38XoEVP1ctGaqxRRLoq2BoxgoBsIEqWDhIeoEXPzRqTx5WP/K1L53DrmxtYsqu9j8ent5zJuJ01mNJOZWTWYmQ5yIrcO1Aq/5+98w6Totja+K+7J8/OzuacYVlyzkGyiAGMmDFnvZ/xeo3XdA3XgDnnrIiKgCg5B0lLWBZY2JxznNzd3x+9zDIuCCggevd9noXp6urq6p6errdOnfOeLPqespiiFeGIOpW+P3/HciGY2NEjtL5YwjH1vuig57FXONg0YwNrzIXo9oYh6tNRvDkYFBPdiguw+2QQ9FgbG6kItlJ21hSix02AtHSMf1Nhxcomd7uy7LJGpr+3nrcucAYQD8ENUr32nO0nHvvR8M0s//+xTz9FyNlnH5f+ttS7Kc9rICbt5Isc7SAfJyn2v9gTuoZSvKuOhG6hJ5XJrANHBp3ORp8+77ByVWBm2ZaWPaxffxrjx+07PiduNXgYrRaCQjUz//7//8o4ET8BVVUxtTgAMPe6yl/ubPKwc1dQaz8kfParMLV8y3mJbc6ZZbGwxC5DTQs940KOS/9K650B23bBSYUriQ9GDuM89xC8nn8gneFj+Khx2vUoCsZRvXHXyNTNeBD7P1/zH7t76mQGBDZH0D/6UPPKZoyqREKzQkRpNE0qNMcPpPPuKnru2nyAw652cGVyGqvNNhbWKzTuKoFdJTyRHs/lceEYj1FSv5MBA5JDCTLqaHbvX7rS9Pw3F9Zz1Uc7uTgjkhhrFWPHZFNTvJxq/uE/1titG6lff0XTsmWU3NZWXvav+44b+SjZU0eXwcdHzv+PooN8nOQw2wxY7AbytlaDSkfSur8gDIYIP8lQVYUlS4+vtQMOSPB2FE6Mfw38Ud32wy/5qKqMKgAqiEKbAqnZZmDAEIVN67XBNEgMZeoBxAMg1gfRljcpjMpCsp/JfStnM6XTFIbFHbuEcgvuGE1pvZN528rYvXo+Qe4qShI0C8ss43pCFCsjvhtMVeki+lw4AUEUCb/4bEpfnUXtzxvp96DC7ta2LIsXEb/8fnY+vBq7VyVfn0/C40UY7ZoaqqKqNEeVU9Olgpne96E79NsrcMoOqAuCZEc3KmJjWdJ3KOtTu6PsJxqqysPrc/k6tpoFw7sds2s/0aioqOD777+ntraWiIgI0tLS+PKCeD7IbOLs3XeTIFQxzfMwVYSyo7o7D1R3R0rSkST9xCnBMudO6YLhhz0wIJqUdz8DnQ6hxwDEqGiUSi1SKOruu45L3ysLGinNqe8gHx34/QiPDyI8PoiqoiZqSpsJP4bKkR04sRAEkZiYcygv/w4ARfEiisdekbEt2OVvMus8ZlqIhycvorPebznyOco4UAB96FUTcNW/S9bugyuTzoj9hE1WTVwus2EumQ2wvXo7c8+Z+wf7HYi4EDPXnZJGVvgYZs6cGbCvXmyh3KdQv8FLn1Zx3eBrH6Dyw1n4mgUaXnuYkjvvIf6FZ0moLGfd2nWYWh+TFG8K2MGDh59D1vJ92BJKjVVwgJ/uls4i29IkJhdNpkUx8ktKNzYnZ/j33xcTxnNz9yDVuNlDNSmzc7nhlFTuO+OPLZn9Gfjss89obHVyLikpoaSkBAAbsFIazQC28az+ba70tom9eatUspUksuthe8KZ/IcXqNvrYMXnX5G1IQkAXfpdjKh+gLLnnqNi6FBGKiq6Y7i07nb6aK5zM+bSrseszWONDvLxF0Jkoo2NP+Z1kI+/MHy+Fj/xAI4L8QD8g+ffzVeoZFcWM5940E8hGg0m3s0YSqPFxmm+ZkRUBEBEM10IgoAIWGQHKY07GVizloRgJ7mNUbw26y0c+uADFD9UwhxlDKxdQt/WEvOSl2DVBzR4myhDxmWwYAmTWZeSwtD8aazM30lPm5UvuixnTlTguv5+DI8bftzuR0ZGV8wtcfj0zXgN2iBpa0inyOPjxhcm+usJJjPhU0dT8dlyar5dxOhlT7P3hWcBCLn6ar65/X2uyvdRbGzkR/sCFoaso1lyENqkglFA71UxKKG0GOvptTeYLuWRGHWV/DJ4vEY8fApSsYPgKhczaksCcgjf0mjCMqec9xaWEbVnMRmeTcjFhVq/jEZUt5vm8ZdT0nkyYy7JICT65HCwV1XVTzzi4+NJT0+noKCA2vIiGpw+PBhYT3+uET9lCCUkkcpeZEaMEgj2fMqHuiGUd7bjlSRCG5rg2WfIGqMtefn0Vrx6Ky/nlbHBnMsjneK4MenYOaEX76pFZzi5rZ4d5OMvhrC4IOorHR0RMH9B1NWtY/OWS/3bw4ctO27n8me1PdGWj+OUrUE6QPmzcHum//OuTj3JDdaiaj7V/VaStnCwJHK+IPDqrqVksJM5Fd9ym/cfAbVyjTcjCm3XIBZvBMDe+rcfn7CWG3ov4vaXNfJoQIQoEYsHHAdEGK+6cBV209GF0R4NKvOaMDg6syfZiCJCzwIP1ZZdhA37ClE3MaBuyG1PUPXNSLyNAlljxwRYdL5JqmehbSUG9zwqpLYIqeub+2D7bjMxtWDyuVg14iVcdS8APqCCtcndEOo9GNdrDrAHuo/cObUbyxbmY6nXtl0ugcKkCYRsz2F/HJTq1hw4gxZ/QolvCJ/9ex1pfSMZfFbqnyo34PF4ePnlNlXXtLQ0xowZg8fj5NOX76ShNW+vgsg7wnSe54ClpQUAUxkdvp3S3m/w3+k3MmzbZozeNmdUvWMPK/r2YnsnzWL0yL5SOnkdTOyUckz636lfFGu/20dyj/Bj0t7xQAf5+IshvksItaUtHeTjLwZVVdiS2ea8GBTUFbM58bif90+zfBzj04678noWvfs6Pk+gnLlPZ8f0s2YKp1cwgyxNqAjsU8woskCa3kGDTsfOIM1X6ufwNivEWdI6THiZpR+PKzIKtb4Z0a0RjxZTMEajBZ1k0QhVXR4AK+O6ojPaEQSB81SFWf/wkLLeR0JdI5Ks4jAEXvjZP5xNv6h+9I/qz6CYQWSEZXCssLvFxejifDi/zZF4/gArpmYPw5ra1kmcLU3k/PIzjl0Lie3swZFlxNig6X8UJCQgDgZ9xT+pE+F0fRSocTRmFhFZb2SzuZyrygR0igo08+aw/6M3Jro39kHeIGJaUMrB8P6NQ9iwdTFqcBPV5SlEKG0kuCxmKDGGGiwDB1Kwcheh9ZoE2rjlt7J66BPkZkJupkZmYjvbGXxm6gkVXlyyZAkrVqwIKIsLjuDDt2+ipDIEry+63TFNOLGhaZp4dS50sg5rTS+SfnmA6/u9yJZBMewwnc0KN9QQBgxt/WvDM2s2kb9kIdddd90xuQ6zTY/H5cNgOjmH+ZOzVx04JAxmHfWVDmI7h/zZXenAUcDpLEBV2wbOPn3eO67n+7v5fMR16XbQ0NTGn7ewdGnrALi9kQ1AWKyFujJN4jy3l4WeEfXsRCMfCXIjb/f7noGb7qa/uJeJ0iYmKpv4uvospslz/O1mJ1zFwMse8297HrFjADKmvEVUTF9/+akAN2ufJzUWMSd3DksKl1DaXIrD56DaWc3CgoUsLNBCdx8Z9gjndTnvmNyTL8pqDlruChrN0qDRvP74lfTx7GGQuJveghad4esiUFQeTokuguc7XYRlwkhGxCxGLviK1MZEfK50QqogtFlE31KDvUXPgl5ppJfVEq+rxKaIbBNdRCpOvo+75JB9u/rN9UAQEMRWm5vrvW5sjhAAjO4GOi9ZTPGyZaRdfDF1l7S10y/rv6wb8JR/u2xvA4s/zubyx4chSifmWQ4KCrS4xOjD+Gred9Bq7RBFL4oSuFz6jXEdF7pPwYJE1bjOdElsouHTYowt8aQu/w99pluw9xpGTn0el23dQ7lsxy2YCFVrkFq8RNU0M6h4NyU+L/n5+aSkpPyha5BlhfpKJ7Lv5MjjcjB0kI+/GARBQPadVImIO3AEEEUjgqBDVbVBoLZmJXFxFxy/E+4nH3+jMMeDoVNQe5+Z2rK23CrVXj2LDan+7QuDvFx/2ukwdRObF3xK/zW3ADDEuw6f3oROdgHQOeddoJV8qFo4JaiovkDLy4FIDE7k5r43c3NfjY24ZTc7qnfw1a6vmJ+vZZENNR1aQv5o8e9OcbxZVHXI/Wfo15Isa0JixWoEpWFDyI0cxtspaeTmgcnn5q53niXU18jU8VP9x8kWUEUJfUMbucmJDSOXEL4c+X8smLWI0+qncDYyV9LS7rz7IQk+LutXi04WGT1/FfodOThNEYTW72bjhbsI2ra93TFiSj2+iDV0jR2F022jOqceR62b5jo3wREnRi21X79+/PLLL1RXVwNQ7q1FQCU0vJiYmBxCQst4bek9dNdVYBRkAGRBYasNhjVB3IJi6op/QQqJhSAbgmSg5J5/YpuziPSQVNaekoIAbNj4HF9t28usfZNoEWSalU6cbtxFS8uh7+mRQJYVcjZU0G9iIuagI09UeKLx934z/U0RnRLMjhUlOBoP/SLswMkFkymO3r3f8m9n7/oX1dVLjtv5VL/D6d/7Jx5n10TDDIqHXv1jMIeZsIQfkO1Vpy2DRHvrWdEtlBtHtg2y/U+9jGxJWwZpDu6M7sFyckJHARAitFD3aDJ7/zOYpkfjMbSyOUVuLzJ1KBglIxmhGWyr1hRBz0g7g3FJ437/xf4KgiCwfujBw1jj6stY3dydh71XMM79HCPdL3FD/UU0hw1l4bWncWOSjzeWPMfIsu3YDSmYHIHhmIrJgiGpJxc+8Ky/TEZk239nc1r9FADMCXvY98Qk9jw2jPdO/QevjvsnOmH/O0lFReCjzVEM35pMmNAdq6OCiNosJMV3UOIBUHujD0v4NnoUiQysbOE0u56zQvQ0Z9f+8Rt2hNDr9Vx+8aXYFI3sDPCmccXESfTosYzw8BIkUeGqUa+xQh/DV64+LPKkU6gbSL8xMSiSk4a4VQhpXRCDtGVVuWYvQn41u3v1Zd8rt1DdWM3bC95lbq6V70szCOr8FEFdnqCl0ytsiNjAowsfJb8h/6j6nJKSwosvvghAaU49Or3E6InDeeSRR47hnTm26LB8/AURmWRD9inUFDdj6f7XF476X4DHU82uXQ8ElNXUriIi4tgNRgfD32XZ5VCQWk3xAipzpg3wl5/27zfZ5U4kobKYn/pEYwgORxQF6nM2Y0vugWQw4qktwRXeh911ueQKOnoIAsk3f8/eZ4bS2ZdDqFpPqLc+4HwVLonYo+jfZ9mfUdJcQpw1jgeGPHD4A44SyWYj5WP7srmxhfnLXucXJZoUZwlP5rzI9codrFZ6AZohrM4p8ckPWxl6x5VMbWWnzdZY9qRPI6hRxWOsQ5HayFWN1cQPTz/K+NhLsenDMUraYKyoCqIg0jl2NAVbc9mwZi3ZNZfSpJjwqftn2gKKqkVbZCBRE5fB5iFDGLp+PQBNtiAKE5PosXOn/3xbHorHUCYTmtsVrIHXKawthVHt1WKPF2xBwVzoafMPUuf4iEg9l+aoLbiDirAZmpmRvJxpWRfToBgIadaTl+VEHH9TQDupK/+Lp+RL/7bntSVs+3AbswZewp7QRKydn0KQNGubqG+kUK9F15z1/Vm8OOZFxiePP6L+FhcXs3z5cm6//XYKttXQdXgsu3fvZtmyZX/wThw/COrvS7Rw3NDY2IjdbqehoYHg4JNPEvZkQl15C2V7G+g+siNl9cmOzK3XUlOzNKBMp7NjMsWjKF7c7lL/kszReWsevG5LlYLsFZF0ekRJGwTyxBS+sp9HlTcWq8MLqorB4WTsqqWEN2iZSyV9W3uBr4b2GWm1f9XWj62WAd/+5HAiCCLQJsfe1tfWz61ypWfFbiHa3IgqiMiqhIKIgoSM9rlZZ8aFkQ30pVKJPLAF3D6Fcl0Yxb5g5jx5vb+3Z9/3IpmqJuZ2a94bAXdJFBRCzTJdw69ki6WcdDmWH6IX0GPo+XTdUI300at8e1YDe8MNhKkCdYIJp6MLQS47t150K+M6H5lolkf2cOo3p1LjquHpUU9zRtoZR3Tc70Lucvh4SkDRy76zecE3Davg4eYQgUxU+i76hnFFm/11loxpUzuVJSeN9t2oghdZ78RStI9LIq/nYFgn5pGlK0QVZGiNDvrQNSigTrfIFi4eaGXcfO09vtJcQrFUQJwlgpzGIgAG/rKRmPIyNgweREVMDLE2Czfc9U9yH1yMwde2ZGBIDibqpj5/4AYdOdxuN263mwWPLSbJIBKrhGrP8AFQURAQ+RkPk2jrZ+7ge/CGBC6F9Yt/G0toZ/JevR2+3gVAZkRnnju7C57IBb/Zl+1XHNxC9GsIgoAoitjtdh584CEGJZzBKRdlIIoikZGR3HjjjSfECnI043eH5eMvjNAYK26Hj9KcOuLSj91acgeOPRyO9jLqPl8Dzc2HzuT6R2D2R9i1BT/uZAJ7hG5ggLr978tQiElLZMSmvVqfjnxV4TBQ/Gs/B3CTdrDpXKTbKo6oxT7sIl9MYCWD2UcSIIABomkmTO8IqNvgMUOrO8jy8JF0cuWS2KI5piqqSJXbQH6QpvNZITZwXdE0Fm3/hqiVq9kdDwuTtBuUhwo4wboVVRWodU0Djox8zM+bT42rhihLFKemnHpEx/wueFrgh9u0z4OuZd+WZXTy7eVyaREv+KZxR4SB06qCmQrkjD8HPmwjH9H1a6kI0dRXJdlMaG1fANIsbrqGB1rlmuMdNFUb2Vrlw60kEEECAC5TBaaYSu5Ngmf2aHV1yJzZL5w0Qyyg+Y70O2sk0buDWbH7FwAEVWDI62+xYf0KKrK176K8vpHK3L2UBudhKwtGRMSnehEbDDRscGAOshHftcdxSTWhqiqPPvpoW0EQ7Gj9aK12kBdi4dZJZxEeFASiiLfByaQfA3+/3tz/Qv+rAsq2lFwPX0znlDs/ZHfLLUjzNtGrdh8T9Fn8+GsTD2B2SYgqtJjlI+r3fudURVFwuVyIksBtT03zlzU3t89sfDKgg3z8xRGTZic3s4rczCrS+nZIr5+sGND/a5qbs/m1pUJRvGzbroXWBQf3I8L/wv/1aK1qVoaAIvVXddusEYrXR321ikEXhCRopbNaRvgPfd6m8nGZm61BJkxhfeg2uhvmIL3m1CfQljwOWo0UrZaK/fvQwnj9Sef2J5pTVXRGIwazFVVVNOtJ65/a+oeqaD1VFLzluZB5OQDVp74DPg/IHpDdCLIXZDc11ZV4cpfRjb2kUEwKxWSTTln3m6nyWcnek434q3tzalAdb7m1wXF7cC+2B/fi30OfQVkPDfk2fPZA/YONLQYmrVwDwOK+bUtVYXI8ki6BKnU9gqASZP1VIpRDQFVVPs3+FIBLul6C/niJyQE82Wr5tCfChEdwmufAipsIFZqZLv3MaVVtjs3p9dFw9tvsS/oOX/wvhNrex1i5ippdk3E3agtKHlmgxtiIXg1MA9CQZ2KjQ+bXroImVzRU2Lj6/yaS99wTrHR2o0wJ5tkFLdxFESlosgD132xkhSHTf1ykxURp3mZSG5YwltnoXV7yFkTyyZ5M2qEM2KJ9HHDmOYy5/Jo/cscOit8iNM+fp0XkfOuDqKJSdIrMq5tFkloZrqr6MCY56V7toyxvMnWp8wMbOOVj3v7XKOBqrIMmM2jjk9y1p4UfB2vkQ+/TcfaGrphcCpJTczidPuP1Q/YnJSWF22+/nRdffNEvhAbg9Xp59tlnkeUjIy5/JjrIx98AaX0jKcquPaljuv/XYTRGYjS2J4ey7EQQ9Kiql27dnvrDWW4Lm0q5astGymUr9djReWR66YpxKG1qh53EUi4deDqLf8piK15CY2I4/cyef+i8vxf1O32QCS7VRsTwaQets58mNO1bj+0TzYLQjRy67byDrIvWk70n2193za4trNi9k80R0VDS1oZJcmHRO4iYWEfdojCqCmKptgsYvDZsLX2IzpuLgIoswLLebYPrl5NeJja+C30+6oOCgqIeWejixoqN7KrdhUkycX6X84/qnhwpFFlhzt1vMnW/hllDEdufOYd8xY6NeJIpIcRQFqj81YpOhefgaOpO0aCnsETtwRKlmSwK8vtQVtibGmCYJw2QMOokXB65lXho6J5kwTrIxo4VZTirRHBaeOuuJcToezDBvpulcgqJajnTxHl4fI8jIGBWDNgVCw2iZqWqdDqJXf5/RLVaRnJWR+BzBKpyGiULesmIzmqkvk6L3Nk09zuGnDMNc5DtmN5PgHPOOYfvvtMUiG+//XZeeek1vIoXscqF4PShWnVUhofyyWP3kzTkPv9xgqDDU6T1J6R4jEY+VAHJNQjZrFl6bIm/0FQ0mBZrLMtGv4JJbuCOTXV4QnKoFEWUKAmnImMq3ofO2cyPM/7LFc++6j9HSkoKhYWFTJ3a5jRdWlqK13uA9n0rqqoOHQV1sqBjpPqbID4jlIIdNaT2jjh85Q6cNBBFE6qqvTxKS7+iS/qDf6i92zf/TJbSz78to2Ojr5N/e5xhDy/3HfWHznEsofq0a9/vnBiwT5FxFi/FvfkNDPvWYGtytKvTsOZlDIYgXG4rX66cyb/mWYAQQEUUZARUpqT9xNj4ddh0HvBaGDHyVkKnj0KVVdCJCJJAQ/2VqFzJ3fmPQYu2BNCr2kqpt5aG0h0orXr1R0o+Ptn5CQBTOk3Bbjw+Cqcf378Gjys5QHp1ljISgE30IpESPkhaS239TG6saLN+ODKacTYbwZKMp1mHIUjzNZJliZISLReIWTWgVzRp+m05m8iz9/Afb8ZJfm4dUU1GglU7isGL2wOSYkByR2JrcdDTspn/m/kztcCsQU9g9hgINURjUdy4zQKuhE4MItNPPAB8VdpSV+/CCrYlRWMQTYQER9Hv4nP46fUZAdeu0x8fS1KfPn3YuHEjRUVFbNmyhcFDx3LH0goMm9v6KfcPIaEsD6WpHNGmRQn5qvegi+gCgMEZjbeiG/robHymDX5bZ/ywd9hVNNjfjpNgqsO2AkZEtxNb7taAvjQW7w3YLi4uRlVVvv/+ewAefvjhdsTD5/PhdDpRlLbn9MDPJxM6yMffBKIo0FJ/zBbsO3CCUFT0/gGfP0CnCyYt9R+/ccRvY6/SFhGwuJeBZq+LVbV1NHqaGBsZw5iEg1sX/jS0kg9VaE8+mt8bgK0kj19r+daE6vE2RKCaW3An/kRUaDIzNt7CJ/NMRJgreGbUf9q1JXlsJK19HIMzEhmoXlGCKntxrn0ZuXq3v94dBrjyLu21uD2ihSuXB6pN5uzeDJ3O/M1LKmosYlnRMgAu7Xbpb9b9IxhzaVfmvb6NjyvfYnrUDe37QTxBPhuzw5YyvqEb6S7NumXZ04ipCQRrLMtXpxCS1og+yEdddQwhYjgW1cBQT2fcioPGjW+RlxH4PDoxg85Mfh0EZJxrxQgSmeiJA34GIKzFiVNvoM6j+fYEK2YGK9sZJ7Y5YGd1upqvT1nARSsU4uqbael3HgODtWXCVR9+668XnZbOpBv/gd54QDj1McaQIUMoKiri0yWZrPKm4iZQK0Ot9nLn/z3ACy897C9LWL2K6ovH4Cps1fHhVKJPzUY4QKrfXXQdg0a4cP3wM9WeKJR+UVS37hM9LlpSuyH4fMTXeekdNJjOQVtQi7YgJPbjYPB4Di61UFdXF7DtcrmO9hacEBwV+XjjjTd44403yM/PB6BHjx48/PDDTJ48GdAu8q677uLLL7/E7XYzadIkXn/9daKj28vRduDYw+1o/yLowMmNnL1PBmwXFLxFasptv9uhrpK25FSd7CmY9BaGHDY29PhKsMvOJhp+WYQqGTDEpmEIj271AQFfbTEAVqEG6grAGgkGjW6ov9LUWN8nHK9JwW2U0AY9bVBYWzYQh+AlqNujPJPoQFEFlhWNZFDkZmxmbf1cNjQhGxrB2bb0JUh6xLBOyHV50Bq1Y/YpfP6Mj8V9BX4aIFIXbMAraWv6QU4dLYvWsCBkJqcOP7RA3Oe7PkdFZUT8CNJCDp799lggpXcE1844hfxt1cz85L8MD/6IM737mGtts3RNKpnEqsSvSCp3awYhADUOsVXEc3hFPOvrIMThZuj44SzdtBQvAj+1EodEqYHRK25n/aAHEBUZqVWErSk4xX8OvQBeFcLMEt0kiNBpVon1/cezMt1IizGBs7O/YJdHezZlr5s+g4fCxkX+Nn5Q9lIdczE/TNQz49xJ/vIJVfXcu3YEJQ5Ngv3CR546rsQDoFu3bszy9KFJ0Z4vm+Di5sFh7P5pPd+H9kJs9LJlSE8qH/BSG2/DjIOqb4ZiF0XcQUk4zFHsa/DSNOcZEFRktw1V1tqKW3M/Nk8D28eNpeoA4uaztQUMFAbBqa5UmuVU+HElITdo5OPXfhw+n48jwfFwzj0WOCrykZCQwNNPP016ejqqqvLRRx8xdepUtmzZQo8ePbjjjjuYN28eM2fOxG63c+utt3LuueeyevXq49X/DnTgL41TRm0kO/s+qqo1+W1FcVFTs4yIiLFH3Va1M1CISTpSjY/j/G6qeOcu4mq/Oui+gGHkpd7a/xd8DD2mIp36DHysOaOqQMLAL9iVEyjp3dycwJbK3uiCsrE3q9Qs7M0bzafw+sK3AciabiJ0qAuTK41Od1+u5boRBMqf24hc6yLknKsIn/4sKCqqAj++O4uNVTu12X+TB5q082TERZGbuxSTx8mm1z7AoDcxZtBZ7a6nwd3Ad3s1n4HLu13+u+/ZkcJo1pExJIaIhEv54vHOVMesbFdnZOEFzNeXMFnuhs9Zg1SeTdi5YzH3zSBcvR/porPYEy+wr7YQSZaRpTYrVHFkKD1TL2P4qsfalOsABBHxzDcwi9rj0yg6aDbWEeFqC/s/q9MqRm2rRh8kE5zioKbAQpU7CI9H4cNPVnPXAUFDMVl9MDt7Uh+eGdD3RZEhPGyFfv0mkzxx4HEnHgCSJOEVjaCopAvFPNSrCUvmayRG6cnx2YgtqGZCZgFrgk9HJ/t45+yLGZG+lKlnLqZkh+YHEqaCp6kKLb10A/udwUuje5FYupaqqENnsBUP8J3OLgpm2B+8HrP5xCjDHi2OinycdVbgj+0///kPb7zxBuvWrSMhIYH33nuPzz//nHHjNI/9Dz74gG7durFu3TqGDh16sCY7cIxQVdhEcs8Of4+/GvT6UHr3fpOcvU9TWPgOAFk772D0KZlH3dbc6jZZZkn10exzE6o79Mv6RMyHPA11hyQeh0TuEprkMmzf3usvahx5OfGJQ4iJ28327Z9TWbWJYFsivfpeSu2azeAazIBmK5ua+nNX9t3+4xo2qDw94ElurIugf4sDkz1IS1FQq83gvZUOBEkESbsf6QO7s3H+ThxCoEm794BBTLn0MmbcfyXmcg9rX3oD490mhvVtyxwryzJvfTSLs3b+H5WpuxkW80eHjSNHi7f2oMQDAEGkNEzlk4IX6JPfTNfyWmoTm+l8yTj2Za3mgSt0mJxBjNhRBAcQj/6TziSqOp7g2hBWXHYdX5k/p1l0UBmqRTX9O6eQoXIyAHbVit2lRW5IVBOqf4lmfQGVg3R4fdE4la5EpNporDDhbJYRvW6ezx7FXd1Wku0Yi6NxHPUxWjK3R9T7+JiryRXSuVJ9m4rB2+ld9yYRA3q0v7bjhNm3jCTjrdbEj3vQHg4JxlRuoWi55gK9X3XkzNVLGfvGF8zvMYWHdtSiqj68zd+j+AoD2lQEldRTR9H85RZ/2T+uvQFzaBh6o8ATTzzJta42UbGtDh/hoUWH7OPhIlqiI+KIig3j3HPPOymVTn+3z4csy8ycOZOWlhaGDRvGpk2b8Hq9TJgwwV+na9euJCUlsXbt2kOSj/2CLvtxYNhQB44cFrshIKdFB/5aaGzI9H8ODu77u9o4JTyK1MIy8jwGZEHHxoqtTEw+5ZD1T4S8YPWct9k/F645Yy4hPQdqGwdojgmgpbF/snV9KDQ1gHi0XPga9m6XASBJOvr2nQ5MB+DpH2YDOgRVoEv1IDyoPD/6FF7/fBGFkfDBBJFSMZIH48IIeWc7g6rdNEp1hLYmmpOdHnI2P0dh/RtEyedhNKUSFFSDw2FHUdpej7N/nM/9Awbxjyfe46X7rsJS5WPp8zMw/MvIgB6nkLVnLx+9P5/kem2ADMmOZvaLmYyb3hV75PHPQP3ZF58FbLtFN0bF6N/Ot5fi7tTIqds1U453/k9MT9vNluAiiASDt4UxO+3YdB6afAa8ioSUb8DuCWFG7CcsCFkLQJwnCqgCQeDNlHfpsedRKsUm3k3+EL2iZ6Sznsa0NGzJV/NilibNnuH2cK9aSqM9DreUQOdOU9i2cwW6hlpeLTwPk1ETXxNkParkpXzFYO7s9RKhoWUA6DzdcGXXovoUBN2JUezNiG0vkOVVbZiiD+/oqsqV7YiHR6+SctFpNGa5AgKVX3j3Hdz6YERvE7+2T+RKxUy4/1/+bVEUj8h51GAw4ZN9XH/TtTz22KOHrf9n4ajJx/bt2xk2bBgul4ugoCC+++47unfvTmZmJgaDgZCQkID60dHRlJeXH7K9p556KlDYpQO/C1a7kZ2rSkk8gamnO3DskJR8HfXbNgDQ1LSDpqZsbLYjE7PajzSLkXkDutJ9bS4AnpMgdZNaq6Wib5IjCRsw4jdzzfh0EjqfDIv+HVBubSUeB6LJ5aXXIwvY/woztRIpyZvPWVn5lF/2Eo/1KqDYnIai034TkS4VSdARqrT5fdRbWqiofwOASmkWeKFff22f0HgrKzI1ESmPrL30g22h3PLE27x237VYauGnZ55my/jtNC7YRozqRTHbCRoUiSfbQmlOPZ8+tI6J13Sny6DA3CnHGjfffDMzZrRFhMxNnoukSCS2JKJX9OTacpHDZXYlKgzdBTPHTWBL8DJ//Z6yk39krPVvV7useD3XUqmr9xMPgFJDWwhnhaGGV8xL2RX+E313O1jXVWFDlADNxZDVlpK+m8fDoOpaeldVsHJoEXvz6lH16WQMnML5V57OF3P24J5XTFj1QEqD86jTecjLvADV0sK1pyQTvyUadCKqRz5h5ANAOedtxO/2K7wK6C5+mzcbd5DV8hG3zGtPAq5Y3H7i3GPslUy89mwknfacPrH4Oaa6XBrzFwR0KOgOkPCvEZoIV220hG/nvAu6YjS2kZ2goKAjmpz/8/q7+GHFHETx5PT12I+j/iYzMjLIzMxk/fr13HTTTVxxxRXsPECf/2hx33330dDQ4P8rKjq0makDvw2303dSp1DuwKERYh9AXKwWieL11lFb9/v8pEKNNhJEzYf+1jzjYWoff0gObfbamHHtYZPctZjbvyw9dx1cXnrxzsD3hFOEteI+vM2zUVGpyVvMV2u7cn6JDYPXy8UrvsOS1MDG6p+R1TZHvRbzoZWByxxtQlGGyhKyVmjKoGEhUdzwxBu0hAiY3CL1P/6E6itBlSvxNH/P1KkDufihtpDKhe/9/vfjb8Hj8bBmzRpef/11MjMzmTRpEjq9js3hWj9lUSYqIorx6YOQRZnESpUBe3U8M/1G3jj/atymvv62RjsCxUAiTC3Emq4kyuelT3OXQ/Zhwsqv+NfMBq772cv9X5ihsTsmX9uA+Y/CRi551UT2l3Hkf9+P5E9G0SVlM+lpW+izy8rO//7CfatzeDbEyfN2H01xvdlu68lyb2dWNPRh+pwQhBsHEXPnAETLcRRqOwjEPhfC+fuj0VTkzZ/wevYnLO8tsi4j8Fl995HbmDhKJTTJhCC26Y/0GjfMTzwAClK6sz0sja7bstA3e3FiZJ03iUWedD519ef0tCD+ceoWSoZ9Q1RCoFx9evrhNYBEQeTxV55g69atJ+VSy4E4asuHwWCgc+fOAAwYMIANGzbw0ksvceGFF+LxeKivrw+wflRUVBATc2jWbzQaMRr//Jfk3wG2MNOJWcjvwDGFonhZs3YcPn9eFAiyZvyutjSVUY2A2n4j3XngQb/rVEcEuzMTBJBCEw9bN7NnMJ3yHURWu8lPslATZkRaOQEPAntFBVUFi94CiFQ5IoDb/cdOqFpCt+a2kNmC5ixkxUe/MjeJvhKuevEtZj31OnVNmexrykQUJPT2m+mT0F7eGsDtNlNVmerfNtRV8tNrDyNXXEfvC6ai9wjEumy0CA5k1YcqigiKAnj45L6P6Te5zT8uLj3k6G7aYdDc3Mz8+fPJz8/3p1+vrKwkOSWZ/J755NXn+es+ffrTRAZHkrIpnew3VzDplav9+1KCL8FlS0P0lRNTsxK/d+0BWK37jD57T6eLMIXNSd+yLzSX8xqbCStKY9jPpQQdEJDUqbKZG2freKnfQ7wZ9CjdKaTuy1bHSsmAdcJjAKQvnY656yeYEVlYG3jOuWWBYaIAPrMOXdjxdzQ9KHqeB9+03rPGCvrqBTJ1KnMGiwzd3eZzEV3fwIr3nyX5lPtRfJX+8q8fuY0zr7qI3Fo3Xmssse5S7h+hhUU/dXZXykty+GpDWztShZM1nU8hJXQC43SBImoTJ05k06ZNv9ndIYOH/NErPmH4wzofiqLgdrsZMGAAer2exYsXc9555wGwe/duCgsLGTbsxDle/S+j5ynxrP5mL6OmpZ+04VUdaA9Zbg4gHgDbd9xCYuKVJMRfflBl1N9Csaq98LvqjywN+fFy/Sj55k3ihXoAjHGHDzn16UV2pwexOz3ogFLtxZzk39byVEQGNfLY8Cd5IPdxhBYf3fJ282sUO7QyU+9e6C0hBIV3p65kIwCSZRKCoMezt5FY342U93gXVVApr0whZ89QDjQKW/KyERStHwu/eYfi7Wso3FfM5ITrkAQd2+tWkl2/1n8fRV0U25dqIcSiJDD2sq6HvfYjxfbt25k1a5Z/OyQkhJ49ezJv4xbessbgUi5E0snIvo18ccYXRAZrz06MIYFrLrk6oK1tpljgHCw4OL3xSw6GjwefSY0zEr1PJabmTq7aIHOj9XIKfij11/Hq4PvRUzhv8RzGFW+ma10BlX3OJHL9XHSqG1VQ8Y5OpiF2NUGV/ZFkM4m7tPwnUzBQg8p7BIZVBxl1NLt9vHRRX1IjDk4QTxSqhVjC1TJ05Zu4IMhKZmQ4OQkCF/9ToluRSv8cHdYWbYJdtjkfxVfsP1aRPfzw7sf+7XpzIsRoOjH3fb+r3bl8XTXFuC629sED9913H2+88QYNDYfOB3Xqaccxh9AxxlGRj/vuu4/JkyeTlJREU1MTn3/+OcuWLePnn3/GbrdzzTXXcOeddxIWFkZwcDC33XYbw4YN64h0OUGQdCJDzkolN7OKTv0OHcrVgd+G7FPY80s5kk5Ep5eor3LQb0ISKq3pTY4xsdPrQ0lMvIry8tmYTQm4PZW43eXk579GSckXDB0yH4PhyCKZZuUuZ7/k5T1duv925VaP0+NCU1WV+B2a02idlEFIn8PPyE4ZuorGwjmIqggLH0ZVPBDXn+Yu47l790cIwAVJEwmyxaKoPkLDfTwct549aiJFA6aR8PEs1O7RCDvLEOQ2SuXatp3n/3E1luZ6f5kuzI7arN2C4PKhBFUMQFAlyifkUVSyEoM7jC6FqSgtG8DX4r+mIftKKa1uID5tPJKgvT57hY7C6Wsmr3kbAKIuHluYCVlWGHtpV0Kij53DadeugUTmuuuuo1mFmzxmmsytg3TI/zHSWEiX0K6oqsqP82bSZXUYz0Wo3N2/fdilo52MG5zT5QUkn5ECX1cmVnsJlgSqg0WKEz3kfB8cILsV/vwzPDxpCms/Horr3W/Z1V0jFitGjSOlaS4RF87C4NlCRcgOynsJGFpiiNxzIdWOAXyUYmBiqcwX9c3oVBNR5/Ymul80Jn170bk/A2tL13J9ih5IIsLjo6vbR+dmL+VGPc16gR0pAp0LoxG9egQxjCazFxPh7OdS8eYGFARUVUBGpFT1EOcup9oQDqKIFTcCKhFiCwN0xRh2yBj0elxbrTiuvx6Lpe27CQ4OZseOHXTqlIbH40UQ4IJzL2D23B/weDzcd++/TvqllgNxVOSjsrKS6dOnU1ZWht1up3fv3vz8889MnKiFm82YMQNRFDnvvPMCRMY6cOJgtOgRBIGti4voM/7wpu4OtEfBjhq6DIlBkrTZr7PJQ0FWDR6XD8Wn0nXYwVW7VEXVdCR+B7qkP0iX9AdRVZUdWf+gsvJHALzeWvLz36BLl4cO20aL18GdBZp5OkJoYlBk39/Vl2MBVVVRVAlJkGmy9CX0MP4eAHpLLOFdWx38vn0YvF7oNYqwvveSvVVL0vbJrmXMvmrrwRs4bTq5zTV8lLue0vps9mR+TnpREGllwQHEA8DXEooE7DEV8X7Sd1xTeQ6rgrfwTclCTKFWrtz4pGb8sGmDvbflZ8ZsnotRVghvcWEbND6gPb1kZORF0xlyzvFTkFUUNw5HNlOnns7s2drzkZ+fz1NlDW3EoxWr3En0X/oTj2W5GFymPa+dlQrWhDSRV/cIAEN6LaHzjjqQFZ7vPJbSPenkeePYrqZx7cogglSB86QmRtnahokW0cmaZImhdW1LBRuyFxE/aQol+ZFUdA/M6JpvO5PoFQ30C/qGmlA9C3t15hXr/7Gvf5sfyTq7ynmbMwHomd9En9C+R+TfcCIQaYxiWuZ9hDljSCxaTErBfPQ+Jz/0j0AnW9GZR6IzDYZQCKnbzUrzf1k9SHvWPyirYKCrzaIz3zyUr42XYqx04VNUYoUGJhn20ChYuePqi9iyZQvbtm3D6/VSX1/PunXr/LIV+5GQkMCdd97Fh++/w3v/uhRns42KkqFs2rEJvTFQifVkx1GRj/fee+8395tMJl577TVee+21P9SpDvwxpPWNZNfaMqqKmohMPPbJl/5OUFUV2aega51pKbKCKAl+4gFgthlI6aVZHhyNHnIzqxAE0BkkgkKNVBY0odOLNNa4sIYYMFn1KLKKIqvUlbcQEm0hKjlY88k5CGpLWyjeXUuPUfEoagvFeb9gOGAsKSr+kPr6DaSnP0BIyOBDWl5MkolOQjE71U5UqzbymspJtR3a3+p4LswJgoAkaAOUqen3OFy2Wi5E7XsxqypOQSBXVCgqXEVi0sh2R9R5fZzxw+XovK3OqHbYkdiZLkmnM3dTM312biCxLB/EYETFCAJstmaz3ZrD7an/9bdz5cZA1VlVaUT2ZLEvOpTupVqOD9XrQNC3zUpPffhOjAnH77dWU7OSzK1X+rcHD7Hg8ZjYtj2PRdF3+MvLx/bloW2LeacmnGopgYeTG/hqTz52WwoJNeG4fmxiv2rVum3j+NI9nk+Lgnklr01GXqeCVVFR5HK6WCLZP0zsNJRxV6fHEdPhYqPAiJ0qEU2Q/tZCZq8bBQmXAe1Jw27nGAYGfUN4nRd3cSL7EgMdWKtsoXgkHQbZx46dWezYmcUtt9xCZOSfn6U7LSSVMGcBAEWJ41FEHRk5X2Pwiqj6aERdKqF1u4iq3EJMxXr6b1XYOux0Elw+Xk9N5uJgBV9DBRvqFT7OH4mEk/3uzmrrL1BVFBITE0lMTGTcuHF8/vnnlJaWHlLB9L777iNvdxYXPfQOwbYQ/vP0U9TPqD8Bd+PYoiO3y98UXYfFsndTZQf5OAhUVSU3s4q4ziFsW1pMZKINUSegKioV+Y0MPD3lkMdagg2k9dVeij6vTHOtm/RB0f6wNo/ThygJ6AxS63Yo5bkNtNS7qS5qQvapCCKggs4ogaot84REWSjeVYfPIxNpfhavuIDK/AaCkrQZblNzFpu3XAKIdO58L8lJ17brmySKXBFj4N4yEFUZ2Xdk6d+PBwvxeWX/y0Uy/Y5lB29rErl6TS/h6pA+vNagLWucvvQmLk55kPtHXxhwSKNPhgMjWewXcGr4GF5oDIZ0MHd2M7FuNY1FiTTkNiN7bFzY/zyGJqdR5agiKTiJRk8jTTtqsTa1hax3z3qbzHiB/MgQeodE49u5E8eqFzD1m45gsKI6KzHEjjj6azwK6H7lfGg0OjAaHdhsq4A28vHO9ytZ6vHRKmOCRxJpWfsypvgRGLpOwdSUgr34FBoSViAIIJsWYxYmB7TtE8Bd/yIA0RHa0lk5CveZNR8aRRT4bJzE52NVnvw5ik5byuiSWQ2ZL1IxRpt42pVCGsQkVKWZIONGVlUmU+W2os+rwHKJA4ch8JloNpoJc7Q5n5aWlp4U5EOUAi12VRF9ycj5mmH5BrK6TyI9exaRNdsC6uSFXkoe0MPQgCe5J/vKm1i3qxIfgZlmQywG8MGBK0xBQUGkpaVRWlrKmjVrGD16dLuAjODgYL789gfUPQspWLUZe78eXJGZeSwv+4Sgg3z8jRGREMTOVaV0Hxl3+Mp/Y6iqSs7GCkwWPT6PgqQXCY22UlfhYPBZqQGWhNQ+R/7C0+mlduv5BrOu3XZSj3B+DdmrIPsUf311v/+FIOB1h+NoHIhNqMWckExB4Xuo6n7FTYUtO9+gvNlKl6TTCQ0KzJj6XoV2LeMtxXQOHfDbF+B3izj27KPyu1f84mKN8WfS/g4cIZxa9MMlY5/mte9P9xd/kf8EX+Q/gaSE0zt4Eh+d+y8sioMYTFQDsi4KR/BZfOZru7bNwmBMoc9gCl1AZM/FmDiXEeOfQhAC75Ovm0zuxlIKfilgxLQMXIsuJr25kZgrr6L2pZeo3bkTpaEQx7InALAMHYogXc/xhN3e1/85OvpCqqsbcDpXIoo+euky2S5o+x+y2wAbJreLC8tLOOObOdgczXhyfqalZD3ukVOJSbqNliY9bm8FDb5qxiSuZl7uqSia3Bs6pS3nyMz85xiQcgd34aCmoT8GQxXGkM2ga0AVBP49vpKpVoHhO1XiayGkPof6kPRW4uHC3fA+ext87D3AZfiW95/k2RufILhFRpZUZBQS8rxgiqPXxEQMRgMZGb8v2ut44LoXT+Grx9bRWOshvlZzWLY35TN8vaZHYx01CmNGZ/Yq73B5z4/8x+2ss3DzT+sRvG3+Rwa7gT33aW4K89ftYP1P2xF+pfZns7URzezsbPr27XvQfgldJpLSeTw5G8vQ1boOaVk9WdFBPv7GCIm2sGdDBYqinvSCM8cTjdVOQqOtRCadPFYgSS8i6dtmVQcSIL1Rwh5pQe0KjdVXMW6sJhfu8zWRvet+rvn0tNaaq5jWu4EnL7wIXesMrUltnSWpMll1haiKm57hJ379PC77Ef/noLCgQ1c8HEJTAAi2J3KdcTzvuBcH7JbFGrY0f07vjz8PKA+q6cWgaCc/S23kME1tS1He4ghm0OhbDrqEpTNIdBmeSJfhms+UZfrl7LeDRN5xB4ZOnXBmbqXhWy3batQ9d7dr43hAskzkuZWdSbQ3kxE/kqSwMwlq3sP1ypv8Q3wNVZAw+nyM2F7LJa6fOPP+F+DK89j95uu4XnsDg6MeacFHVDpzGPbiy7z1ztvU1DcACkGCh0ZVc0bd+cQZ/LAglIJPnqXYEMnbSgNOUUcyIp9Me5zEhGBGf/AoddIsPHqBmaMkZo6CIIfK1OxQbB5QFQeyNwc4+NLBl8UlJPboT+7WWvasrwAGgxMmnTb2pHtXGUw6LvvPCHxeBb1hHKr6BN6SEnRh2lMh7ncKrejOA1kP8wDPYVSdWIqcOFuJhynUiCgJnD+4jYTt170RDog3c7lcAc/kYRVNRZH0wfHs21yJxWYIeKec7BBU9USILB85GhsbsdvtNDQ0EBzcXuK2A0eH7cuKSe4ZTnDEyZlc6ERgzy/ldOofhXQC1RGPFQqyaohI0PKRWIINqKpM6n0/BdR5aGIT14y/CIAv9y3j9sIQ/z5BVXgluYHzO7VPVHf1vB38aPFxnsvAa5MPExlzlCj++g0SdmrS0G7sGB8pPMwRv8LjkSB7YOLjMKItpfsv/53Cd9YdzA06dPilt6EvrtILyHniDERR4Io33iPGVUH3sE34fHpKS7ohCCL//ve/D9nGkUD1+VBaWpDs9sNX/oMornMw8pml7colwceDQ56nPjiCoqrhxK/qT2LJZsJqPmLC8jaBtqbCQrJvvgnbXk39tiXIysoRI6i3mXAYPAgRfZhZYgJBYVSSxC3jMrjnnUwKBc0SmCA7mHnHOGLjNBtWwuvL0JcVgKpHkJxI5kL0CSsIUqK4LiuOxvycgH4O6RfP8Hte55WrrsfnrtAKBTOqpQ9G/VB0eomep8Qz8oK/tkxAfv7rtDhyiYudxptrg3hrhaa5svKfY0kMC7SSLti4izVzv8QtGLjlmuls3LiRHTt2BPh6XH311SQlJXE4KLJC4c5av2/an4WjGb87yMf/AH6Zk0tcegjxGaF/6R/278Hu9eXEdrL/ZcmXx+mjoqARg1GH1yMTGmPhn/OymLetzF/HILrZ9OA4bJYQ3LKPSat/Zpcc799/RfBenhlwfru2L5u9gUXBevoX7GNYXk67/fshCy7/Z516MNNu2zMlNVSgry5GUvVYqEYUZFQV1NYMuzrBzrjYGxBxsqbFSrOiIApOVFVFRcSjai/okIY99Mt8KWBWqH3UzuVOV6j8PxkFEVUVWsMZRZTWPxUBoyoDIj6fDofDTnnZadTXa34wV111FcnJyYe85pMNXq+P9Id+Pui+O60/oiubgqpoCqAJxUvRN33D6cuzAc2hUS7eixSXxu4H7kedPSfgeIcBnj9XZHtqGzn31IzCXXmGf3vLQxMJtbZFU3T6YBXybk1vonv3CK4bVM1N5doz94w1m+rn23LNnHraQHpd9QgAu9Zs46fXn0H2tmlVLOtbhbOzjSmdpnBL31uQxJMjzPb3oMnl5eJ31rGjJFAGfdZNwxmQHKime++nKzHvDbTkAURGRtK/f3+6dOlCeHjggqWitB+u91uK8rdX/6XIR8eyy/8ABp+VRlOti52rSunUPwqT9cTKFP9ZaGlwYzDr/rLEAzSfkcSuYZTsqSMoxEjuliqCPdoL6MKB0czcVIZHMfLpqqXcdOo5GCUdt8QHcVurocGEiyvTBh60bY/aAoSgCr4AgvFb8B2mnr6+FMHrQAGa0QOBz9qQyHHoRSMbWyRqZRUQQW1vxai3d6EmrCch9TnoZHe7/cYcEZ3Lh2r57cyeAEYjWK0NDB8+kNiYU/B6vQH6CX8FvP34Q0w12Jnt6eUvG1Gzhl5NWXhVH1j2Ihm70WvHW4TX7ERUIbtrN0riTcSX/PZ3ZvHAuK0q21NBVSUEQUay7guo88rn87npnFFERmhLDW+O78ZDOQuIEpqRMPJxWS4IGvmoe/VjRJ2A4tPIzH7iAdB1eG9cobcw/+knMbjAJyo0WX3UOCp4Z/s7zN43mzcnvEl66MkRanu02FPR1I54AFgMbYQqu6yRyS+tJEX2cYaSSktQHjq9jh49ejBgwAASExP9k0RFVqjIb8Lt0PxwREkInECqIMsKiqziaU2v8Vex8HaQj/8R2MJMdB8ZR+meemRZIan773YB/EtAUVT2rK+g67Djm9DrRMESbKBsXwPpg6Ix79XM1tH2YKb13sqXW2OYu72WGyeqCILAsppqwI6NJr7unUy30IObbfeT0PDQSM7r0e+Q53a6HDQ3N2EwGLEHh6AeZPaltlooFr31OADJwybSrd8oRF8jwTYPkiQhCCKVX2t5Z+L0IiXeNuIwZXoMOx9+jb2dz/OXbet1EwAjkwvoftEQBEFAdjnJPftSAAYO/hbBGoHH5zvgz4tJ8GKQwOfzsCfnWhTFgSAYiInui16vR6//a5HvnJwcqkQjobi40rQBweuhd0YXildU4GmN7vG5fkEyduPTU+q549s2s/3BiIfOpifsoSewDh/G/I8fpevbi0mv0rH9im3gdXHxB73ZYSrlub5zuDtTk4l/f5+Oec/8yMfXjyAjPZVUSeE0Q6uqbG4JK8M7ca75K05hKZFXViF7BfbNScZRZWbD/HcZNFmLzpo57w32fT4Hg0/EaVYYctO1jEtO5Id9P/D93u+pdFRyxU9XsHTaUozSXy/txoDkgyf2nPzSSjpFWgmxGNhUoDlRVwk6Knx2evUdxbTThmM2a5MkVVEpz2vA1exFkASiU4IPO2FUZIWGKudJ5y/zW+ggH/9DEASB+IxQGqoc5GZWkdg9DFEQ/lJOSkeK4uxaYtPtmG1/LeGdQyE0xkpojJWKvEZ0du2a3ly+j4+mD+WbbXvJqorh8e++5IGpF9Isay+gafZq+oWPOmzbZquJXgMPnTzsaLD0XREZiEiJp8fo/u32e79eCUCcQWTCqcks+l7zQdg8r47EtBD2qgoIgc/jqoJk+qRqPilqY42/3GiJw2g9dHSSw1GAomghu337vIvB8Ncj3BUVFcycORMAs8GA0+1C1RvYmpuPFBqMpUnLGK4qNVRaC1mfXsFrZ4gBWVc9EkRcMBRr7nx0JgXddV9gahVJiwzRlp6iqr3c+94NXDvqHxTotIHOXTqHrwxb+E4eyXzfICqkUK55bwUTTB8d2EUSErK43/xJQJmkV+lyWjUNcyeyad739J90Fbc8eirpu8zoEWmO1nHNAzNIiNby5wyKGUR6SDrPbnyWJk8Tc/bN4fwu7ZcK/woYnBrGL3ltqQ1EARQV9lW1wAH5liYNiOccycrwqZ1BgKrCJlrq3SBAdGowMWlH7kskSiKhMX+uDP3RooN8/A/CHmnBFm6mOLuWlga3NkCrkNA11K9P8VdGfYUDg1lHTOrxdwQ80dCbJKJUkRSviOSFh+dUkRHZSFZlGO//Esyyne8S0scBQWm815DKzB/X4UVGFQS8gg5ZbP3JC4CoLT3Uuo6d25fcoM3qKnbtYNnH9VjsIQw88xyqiwrYuWIJxWWZxJhTSA8egMnSNksrrnFz5quP0rnOQfHiTNxGlTUL2y+p+NwH5LUQfzsSwOHUnP2CrBmEhR1fHY7jgf0pLDweDykpKVx22WXs27GdL7/+CtVgQrYG4wmJwFBfzbruNexKeR6A5b1FlvcWia5TaTSD0ySwZeTdiB9+hyiplH1bhzxrJYqnhcTmaNwxfSj0bGW+tJof166B1sipCJ/MEHEXQ8RdjBP2cKfnMiZY2pLWde68nti4Pf5tr2ogxDwBqamKRv0GsDTTuY+B8O2T2DnnPdJ3aTP77ORGzp92sZ94AHjdTso3r2bYToWsZIG5uXP/suTjkbN6MH9HGakRVgYkh5IQauHumVupbnYzuWcsIzqHExdiRicKrJ61l4IdNSBARILtpIrIO97oIB//oxBFIUB/QpEV9m2pIjjcTHTqX9vR19HoxniC02+fKITFWrnq/O7YUm3857ssEkpc1IjhmEQVlwi5zfF0KiiAHlr9RvPhY/999Z7D1jlaFG/ZSPEWTRNh5ecfBuyrcOWztW4ZvAZ665lIBs3qUl/QTHh6CI6Bdta/0GbhCG7IZfXAWwhrhrIoHfvF7ZetPA2ECAyG7kRGDqVH94sC1sOdDk2Z0mw+fLTAyQav18uXX35JQ0MDYWFhTJs2DZ1OR0bffliWzKal1a3AHZvCbMto6sPnoycbSbUhqE6utl/AqNIZ/CxauLqyEd0nw0ECn6pHUTVSLhqsEJaKZegtrI14FlVoIxbdm1NIckhAHrXY2WTuRvWozuxbVUEnSZvVH0g8ANItD5PvfNDv5qNzhWGp7UZYcAqrvtfCkrOTG1nfo471Wa8juWoZ1udGVl5zLrE7KznrgKjcOQ8ELrkoiowoSvg8HnSGk9ua2T0umO5xge/QGRf29X+uK2+hJEu7hwNOS8YcdHJfz/FCB/noAKCZ7ToPiCJrRQlRKba/bFSMqqjUVzrpPiL08JX/opBEgQsHJZEUZuXB77bRWOkgVBEI94o0Wxu4XZfLprJ4akLT0P30Jia3E1ARVOh1/X0kxGpJB5/5bj3bKxSS43/7fMes33o9stcbUOZtmYvs6YLePJTw9BCef+l9+vb6D12nwd65TyOWzGTA1u3+eJrYSm2E2hcDgtSISWxEUXKpqJhLdfUGxox+wd+206VlF/2rkY+GhgZmzJjh3zbKDubPfwV7iA2f1+MnHvtRboyE4itwAf+9oBfTBuy/3vvp9upVGOVv/XUrnF1QxfaE9LTISKpte6gr6UFqTU8EBL5iABIyjXoLnwzXVFAXnTKCiHWLsMtOqqsTiYjQpOztwXfhrN7O/oxz3SNewVlgx9CkWadGRp/LV3nP8O8L7+LfO/7DBpzcue9Lxs/6nBu2tbdgnfWfFez+eirp339L9qplLHjrZRRZs4QNOWcawy+4FFH661hpW+rdVBVpCq4h0RZSev+5USknAzrIRwf8EASBLkNi2LO+nIyhB0+edrJDVVVMf1Orx68xrFM4i+8ei8srk19Ww9sPPcRpvtPo7ptKj6E61s+tZpTtIna4VpFVvxqAHkEGYgwCn/ywgR1FPgQ0X4LjgTs+n01taTF5WzaSPmQ4IdGxuJ0OspYtwiQFMf89jSgo3j24fYW8druBMFubg2TnM/9FUNxzlCxMQWxowZSUgqLKfJL9CTuSBe5XbkChCrd7LWZzGbI8m9LS6cTG9gFUZFnz95B0J6cp21dTg9zQgKoa0YWEaSmTRYE1Xy4KqFfW4KJsO4AWJmy3lxOfsJOvGy9lw94E5EQrukiJMYXb6NUUBweoiRpuehfP2vNxzF+IJFSzuS6YPY3PQExPxlsmYFd11ApN1EoNnB6kouuRyaqVPbAJYfiAHdERLOjSw9/eA0EKU267lfuffx9rQW8/+WhofJ6GAx6j2N6n4+3kpmL1L/6y7vbOJPQ+nbd6n8pL31/MTxV7uGG+tuRX1C8M/Rn3EvPEvf76Ss4eZjz6DuyeG3A/1n/3NWVZuzn1xluxx5+87ylVUSnLbcDt8GG1G0juGf6XndQdD3TofHSgHWpKm8nLrCKhW9hfzm+iqdbFvs2V9J3w15rtHgsU7thK8du7sBliCPlVSN67pjY9gXXeJHbJ0f7th7qqXHPlmcekD89fdi54PfQ77xLGTbvkN+s6qxrY8tX3rF2pOVTqg84noscuovvODKiX0OMDMqJP0Y7xORn82WAA5k6cS3JcMrLsZdlyLfusxTwNh/PrgOM7pd1NSspNx+T6jgWcW7dS8/4HNC1ciC5uEOaB17Srs0a3mzypks5yDNVCIwICgs5FZO/vsNm1HCGKIhIWNINN83IpldocHC+2DCPlxpEYg634SsvJfX0TFl8wPlXlhtQCSiKjqA6Lxux2csnGleh9Gkkz4qabuIfGIDMX3fIuDT6FXr8ELq3sHJROWJCVjKcWMl5ayXkDP+PXCPOMJzH4WpqXlaNrbLNANnlrsenD0ImlBJ+ZRsnMr/HOn3tIcf9t4WksyOhG95ZdAMR16UZcRjdKF29jVLQWFRV91wD0kSdf2HRuZhWiKBDTyf4/I20AHTofHfiDCI8LIizWSl2Zg11ry0jsHobVfvKHvRVl19JQ6aDP+MQ/uyt/CpJ69mG7bT5mVwTlPh0GQSXs17oAQE9dOa5aBb3iY2TpNkadduzSwItmK4rXg950eF8Tc6Sd4bdewZr1PyJ4WlBsjYR1n9uuXta2a0gduxWDzsKBcyWxVZ5akvR4PH0xGDLbEQ/AbwE50VBVFZ/P5w/tVTweCi69DNf2NuVRKXJ/DpPWKJ/Wyxvuy6B7XAkhhZrehcdcSf7wB1GlNv8cUVSod/wfg899lO9na+QjVY7CWmuh6snNeAUXBlXAQjCKqvJsDxNbE3uBRwanD6fZzHsjTuWVmtsoLOhNn6Y8JiiroRGUp2JYETaetE5Xkmtp+z1ZTSYWF1Tjdvj40TuYqMJSRiW1Ka9GF16Brag/rhY3OkKRJSf1iUtojFlH0qZ7wQs+JY7aH1wYDWexrX8GCTnfYHZWovO5/KJyZeYQihMEP/EAOO/+R6lYs4tO0W0aIBXPbyLqH30xxNlocDfwzZ5vsOqtTMuYhij8eVF8kUk2Whrc/1PE42jRQT46cFAIgkBYnJXQGAvluQ1U5jdij7IQFntyhnOpiorsU+g5OuHP7sqfitOfuJc9K1ex8oOPKU1Iwdmym3OXFzMqGFaOH0yIPo7Tw+1c89XTADhtNlKGv3jMzt/bOJCM1P6wBorXaGG1NZZKOl17CkFx7cNiG+vrwKstJ5x57RgKKl/y76sz9iXUnYldUsgqmU+/5PMCjj1QCdNi7oJPzmzbqY7BYi1GkozExEw9Ztd3NHj00UcBiFMURn0daM0JmjAeY/oIXPu0WbsxzUHE1ZMoeXC1v06sfRrKBQ3Ubl1HSdIbqOLB86TU1P2b/gNC2LzpLNKbrNDK+/SqCRUwGPOwTU5gltOAVNiMPluLGPL0CcUQtIGdhkpyEpewt1ZCbTQz3uFEROW82kWcV7uIBWHDeLbnY7zZuzOqANe8uwG8ChICXZqvJ2HjIFz2XARZT3DJcETZiE/fhK9nKWFD+1GQtRSvqZq9Y2+ly8J3EVRt2BEFgRp7GuUD/um/ln5bZrA+JIwPu09meumnAdf54/tfMbCoc7vr3/rWIu7s9gL17np/WWFTIf8c9M92dU8UDCaJhqrD5GX5H8ffT+ChA8cUgigQ2zmE1D6RiKJA/vZqCrJqyNlYQfHuOioLGlHkP/9HVl3cTHD4X1fJ9FhBEAQyThnFtR+8Q8/YVLxhUbx9ZidsDQpX51ZyiVEhOrpNCCnhtVcxHCOfD9WrkBHUXtsj3BFF/cu7yFu4vt2+VT9oZnt3eAxffv9FwL7o6LPa+hnaUzvHAXLrOl3b3Gn48H8TGfEsWzafzrq151NbexrDhv7M4EE/YLW2H7CONzyeNgtFaNbOdvvFxDPwlCUgWsJQZQ+WgWkIOpG4x0egi9SeY+f2auR1ekrj30UVfeg8ofRJ/pgRwzchiYFhqFZrPQP7zKI2MZ9v8p4hq24Nde5yFOVdwoTHkSJjmb/tQT/xAJUw983Yat/lmzoDW506VpkF7oyO5NPwXgFtn1q7lqnB0Vz4xXZ6PrsEvAoj0bGcYE4pdmOt7U543pmEFU5C1rVQkfEZe4Y/REtXHWHJA0gKutnflu7sWv93WOBW8P5q0b8sdhgv9ZtGg9HGO0lXUtJD06m5MPXedsTDJWrKt8uDNgYQD4BPdgbqjpwIKIpKfaWD+koHBTtqiO8ScsL78FdCh+WjA0eMkGhLQAp5t9OHzyNTvKsOR5MHk0X/p3lx15Y2k9Yv6k8598mKc2++hHO5hNL7H6BYzCd/dzPyvs1EV7ztX2e3dz92CeWEA8TqPJIHX4yKpaRtuU6/2MPeBT8hCXrcOGl219Eiumju0gdEiV7dF/jrOp0puB357D+6wVFOZHAGitpGdA+0fOj1Jrp3n8K3324DoLi4+Jhd1++Bw6Et9dQpZt5Kncx/d+VgljVCoovth1rXluk37KI4rP215RdRLxJ1R39q3tuBe18DviIHUfIllHf/kBjjBUR00vRKxox5BngGWfYy+6sh2GMaMNsdVBt+QCaWOvdcBoXlEGbUrEp8MpR+wA7LWvo436drfA6FwsGl6a09J7G6phcDsz7H2EoOnvtmR0Cdpwn0s3CbKqlLm0tj3BpU0YcEVNc8zpy5s9HrjOg1KSGeqsklqHM81+7z0unyDIb3i+b991fg2qD15fOkHshRJnwpQdzXxcENPc9n9dqJMLsl4HwfRM3h/65/AJPZzNAyHc0FRrJqt7Ortm2ZZs6+OZzV6SxOBFwtXgq2VxOZHIwoCqQPiu5wLj0MOshHB343jGYdRrPO7w+StbKEHcuL6T4q/oTL/MZnhJG9pozeY/+3l10Ohrgn/0P4tXmU3nsvDbt3UxXRm6jqrdQmJ9Mt6A+kuz8IaowthLutCGNj6DKhB6qqsueTJVh3atYVk6Qt2+kxEGS2M9e0D5AAlZCQCn87Y8d8zax1ZxLf+hiZjZomjay0DZjSr0ItdTodXbt2ZdeuXYSGao6OilumaUUxqlfB1MmOLtqCaJAQTDqE4/iMmswCWyLGsLW4BXRw7llP0qMmj+dWvoZcm+uv5xE8WAd0CzhWFEUir+tN2ZtbkfMbsZeOwmUrJHrSue3Oo6oK0eEjcTHPX9Zl0FD6Vo3ApTbT5Psam+4H/z6zonC7cRGpSfUYrA7uKm7vrPlIYavfTEoS2/IKD+oQegctzMCKgsoy/Q7qunk5re/ZlO7ZisXSiCBorMVi2eY/5jJhFpiBTpAbJHH2O+9w1tN34oiLQaQEAFewldN6NzAqSeCyzmNQFIW5lTqGyY30l4L5b9yHLA3+BQTYtyAMJAcba+chiO21al7cNOO4kw/Zq1C8uw4E6DI45rg+U383dJCPDhwz9BgVT0uDm/xt1SRkhGIwH9/Hy+uREQWBvZsrUVWVpB4Hz6vQATCmpZI682t+/vFHsn/agNkRzUX//WMp5Q+GA5dFoHUZaPp4Wgprqd6ZiznchmjWU7/iR0qK2yJudJKP8LC7qKnVVDrXrR/sJx4ABp1GWg5c4jtY9tNOnTqxa9cujEaNELdsKKdpsZZlr3lFmzVEF20h/NJu6KPaBl+f10tx9g6aa6oRdTpS+w7AbDuyiDtF8SEIEm53GVVVC8je/SRbi2eA4EM0lWDwmtkdnsjks59jdPEWhlVu4cyofhhUA/seWIXTokeKtZJydmdUj0zR93sx5TUgCQKK6MFtK2T9pusZKH1AeHQKAMW5y9mx7U70wfUAOCqDGTz6VVJ7DyPrzXnY80No8F1Po+9ywkaUsnzDUtaLKagIdPedjdttI0q3nMrWBHBnNzXzvS2QjH4cbOOKxqaAMp2+kRGnRuBMjOGjuR+hq9ZBNnxcVcmdVywk3BbO+vUvUFu3DgEZRalDbyoKaGN9uI5Tm/N57x+3cckTT3Hv5kr6F3k5vVqkZl0M0ycMx+HyccfSbGbbZL6QABqg9Gysll2I+kY2NWlLdofyKz01Zgg+XzPNLbtxu8qJjJyIKB6bJUaP00dJTj2iJJCQEfq3TFFxvNERatuBYw6P00dlYRNet4woCSg+haAwE6IoEB5/bGbaqqKStbIEs81ASq+Ijh//EaKpqYkXn3kdyWfFEu3juuuvw2o9dk7Emf+eT4Q7CN/EMFLG9zh0RVWl/t8X8aLYNuuPiCwiObkYi2Vvu+o9+n1LTGgfqpqqGPftOADWX7geiylw5v7TTz+xbt06IiIiuOXmW6h8PRNvcfNBuyAYRELP64KlTyR5Wzby7TOPwq9ehzqjkcm33EmXIYeWZ6+pWcnO7H/i8VQGlC+pTOEHd1vZBdVOqvKmIDQ7SXYWcWHqvb9uqh3q9SLC2EZK3A8gGRvwuUJIjnqMvQsfwzSwGkEC2S0Ror+EgWMf8gtv7Z25AtOmNvbW1FPm65xlqL+amCt9cvmucQsAY6xjODsykuyKjbzlbFM7HbZ3Egu8YwGF7mnVfHDxOUTbQrTjFYU3575J+eZyRERcBhfnnH8OQ7oMCTjPzp2zeXxPPkvtowF4ft1KyjN/1nYKJqK7jKG+PA2hVQCtZmw4i0w+9gRLSIrKLdku3i7WInoM4cswRv0EgCobGWC9lhm77+O6qChEEaY2t9BFlNCPGUdt7YoDeiEwflz7Z+to4GrxUppTj8GsIy495C+VyO1E4GjG7w7y0YHjDkVRcTZ5aKl301DlJK1v5B9O+7xzdSmdB0RhMHUY744GqqqyevVqFi1YgtEViWJrYNCQ/owfP77dMsbvQebD84nwBOGbEEbKhPbkQ1UVFMWDqigISOxb8gnLVzkoadWpMBic9OplwSf/SHBwtf+46C4fE2qLpKK+giuWaQ6Mc8fNxWQwIQgCoigiCAJz5swhPz8fgHPGn0X4PM33QkixoT8/HdUrI3hVvN/koFZq/hDW0bH8UjCXHUsDxb32I65bTy5+5OmD7tuXO4P8/FfblYeFjSI8djpn/PR/AMTUGDltfWCG5TBDLN1DhhFsTEInGUFVMYsCqqrSrICnWzi9ruiGKIlUle1j88ar0VkDfVlcBXYGT/qUyLhA3526fcXsXvoSqqmc6Nwp4IjgM+NKZCHQOTzYEEl9t0q+a/wWndKd2JCB/DD1Tm6Y+Qa/uN4CwNvYC+pO47GpXZnWZ/BB78Oy7cv4+YefMXqNyIJM6tBUrp50dUCdH16bweYqzeE1OczO4H6jWfT2y/g8rd+zYMJguxRRsvPOxGDKw3TYPSpPbXUyuFZmPI24geszYlmt/4bc+hxcFWcypLCcB7d8hB6Z8Ixmgro6yRxso8Xa/t0wfty+g/b/cJC9CoXZtRhMEnHpIR3+HIdAB/nowEkLV4uXouxaYtLs2MIOrwXxa9SWtVCyu46kHuHYIzuiW34vSkpKmPXNLHa05JJvy6cseB9W2epfNlFREQQFk87NuXaFrgYRV20yRatupV2Q3AFvkJFWAxE6jcQokhttqi0gtP6PKiAcJMiuUmhgkWUDDjnwpR4VvQ9RlHlPtweXzh2w79y8cxEOKVEF+ZGpPFGUdkT3o6j/szQFZ5O3IJ4bXliGz+Ph/fvvoqkoD52gZ3LGbVjceoJGxCGEGPClGwiJimDZsrZswHZ7f6yWzoSHj2W3x8ZnJcX0WnsXSxvjGZbVlkdJFfQIapvM/MjLXmDjPI1UGAQQTBKn39ybuPQ2gS5vs5PMex/F1WMWnq4KYjPYv5IwbRJxhIVivXAaSVdfh9UWxKLMrdyXU0qxIQLB4WNE6BruXZtKntuAz95ARM9ErKZgFqyaDYIKPh9V3kpmTboRBJEw91bEihcR0EJ7U3Vn8cUFD2M1/PbvtayujJc/fhljXaubcDzcM/0erMY2y9pLTz5OnUcm3mblurvuwefx8tVjr1Ge00b8jCG3MGt4CEO9IhcWeonwqHhVlSuVFgqkQPKU1FjOW0uea9eX2mu9uPq3H9qOlnx4XD5Kc+oBSOwW9ocnTX93HM343XEnO3BCYbLqSR8Yze715RRm1Rz+gANQXdxEbWkLvcYkdBCPP4j4+Hhuve1W6tNL0cut/hFSCw7JgUNy4JScOEQ3tQrk+mR0BgdBMdkYTI0Iii7wT237qz9AikKUjYiKAVHRt+6XDko8AKJUO2Mim4mIzEevdyK1imlVVnSivKwLbsmFiIoICKpAfEv8bxIPgJ3R0dzdt23AlIGDBYXLkhNV9CIZFGwJWlSFzmCgqUhbeggxxmBxa2JRzatLaZqXj/PFPfT9pC/fyOP97WQ21HF55STO3Onlghwz3zvSeTf21QDiATDhirblFr11op94AKQNjeHq50cFEI/MW25m78D+BC2eTfirEpbvehBXchNKQSQCAtbaenjjbVafMYUesxZw1fIaKjcrGNdWYthay4ZlXTnfbeQeBF5oDKffiEEMn9iX08acjb6uEWvuDnQeo995otbYh5r4F2kOvYypPe7hu4sfPyzxAIgNjeWJ257A2q2VxJbAYy8+RlZRFgClhfnUubUHRFZknC3NzPvwbcoLV7U1IgRRGt7I8PxF9MuqIMKjUu1TsF/di2tP6YT5AD6hGkTOD6s/aF/C3tWjbzCTkDAdvV7zBdPrjzzfU3Odi9zMKqoKmkjqHqYt7XYQj2OKDstHB/40VOQ10ljjxB5pRhAFKvIayRgag95wcPP/ng3lJPcI/9tmrP0zsKN6B7d9dQ8OQyOPDHsQi86CKIgICDy86RaqvAq3dzqVZNcPCKJCuOlzguxxfrOzIHDAZ4EFb25C57LSe3I9XQf21/aJIoIgaZEAgoCsOBBECZ3O5i9DFBD0IqoqIwgiomhEEEBttZiIogQINDVV8sILbwDw4IP3I4o6VFUN+FMUBVVV+XR3Hg/VecAjY1xbheCSkSw6PGYJNUjPsK61fDlqMoriZdGLwzEMdFC9OZTw0mHUJyZSsE7zF1gUczbvmDMC7lu1ro7L0x8gvjaeM3OvxdZjJfdmXOXfr8fLKFMpI60GnP95LeDYi9/4hHmPzKCxYjMIRoz2GxAEHVNv70tC1zan6aqWai5/cwwz3gkMid1zRk8G3fIwcWm9qN2xnYrzNYVaj07P+fe9hHf7byu6xisSX1zRlbkvvYyzQZNP35ucwXeTLwdAlBtQJC2tgiA3YWpZyafDLmREVKfffpgOwJxf5rD257UYZANe0UvfcX2pW5dHabPWN31tBYbqMkRZIyOqTk9sv8GE9DuFDSsXAmCr74rJpYXP970igxHD4ql2uunz5S/ac5RopXx8P7K7djtoH7r8sh4pOBhFcbN373+xBnUhPu7CI+p//vZqEruHIUkdhONo0CGv3oG/BKJTg4lODaa2rAWP04fJqmfbkiLSB0ZjC9dmWvsHNlVREUWxg3gcY/SM6IkxGkwlcYSEhTAsbhgA9Y4yqtfJgMBpvW4ke+NsABJT4wiPPbR8vSl4GU1OK2KwlaC4lGPeX/GACBdF8aLTtUUvlO0tQvWoxHXX8vpc2SuD1xaspbpQRnBpA7js8CE5fFDjptHcgjTWhIQJa7MXLyALIltL8qBEs3pssvcl2xzLlezlNcM2rB4t3PWBxJe5ZKlMesMYKqLDaM6cAgfwk0kNtbwz+iwEUaT5jcG8+8MPyPNnAfDFTZf76wmCkfRBUUy8urdfLn4/xn0zFiLarDuKAKIKXebtIDtzOnGLt7CxsJz938ZPZ18QQDz2Pj6JfcVN5JQ08suOSj7Or8TmaWRY9SJmPrY/rFkibcBkTMP78p0XOteUsfDsCby6Zz2v56wgqF4TfrtxZR7bz3vniL+nswafRbfEbrzz6TuYW8xkLcoK2G+oKUeUfSh6A56wGG595HHsYeFUN7b4yUdTyC7EWj0GTyibP9rF7t01XH1lb+SUtkSB56/P4peXPuKM1UswedyogkBoYwNn3/UPpNbBTxSNdOny0BH3vTy3AZNV30E8jjM6yEcH/nQcKNnudctkrSzBGmJEd4AFRFVU4tJD/oTe/f0RbgmjXvWRVZPlJx9bypahIhCmE4gLTmNXq26DIP72K2O/HfV4OeQdSD5Ks4rYu30vPp+PxuYmdtbsAwGi9WEM7N2fAacP55MeKUxZs42DmXd37wolM3cTfdMGYOvShVqyiHa4adQbafa6kS02PJFxIMM7hqdIFSvYHfQVr9htPPiWSIgDXMYfqIgeDAjc/3UtG9JNLOxnYa49mocWz+Tx8RcQFBbO7VdexfOt5GM/QuMHc849txAaG36Q3sGH4z7hyiWXc+G9EmbZzqtDXyLofI24xJW4WDB1OJVE+slHz0mnwTwtumbCsER0eh0ZqaFkpIbSOzWUH17Yw2UlX/gXq8zBSZx5+x0k9UjniaXa0odBUFlVuZuPN9zEgXFpavM68urzSA1JPeLvqnNsZx79v0d59vNnkfPbrDeiW3P0dcal4gsOBUFk3ZJFTDr/QiKCrejx4EUjlZK6gtDaLtSGdqVu/kM8P1/GeNUDuI3asusqhxcMBr4bexphgsjUuDC62Mz0jjn6sHtFUcnLrCIyyUZwRMey7vFGB7XrwEkFvVGi74Qk0gdGk9o7wv+X1jcSS/DxSf3+v45tVdvQKXpez3wdr6w5Qm4r1/KyJFtstDTW+euK4m9bnk4k+fhs9kxW5W5kXWEmO2s14gFQ4a1l3qZFvPHki2x4/AV0Li8mUWb2HSMZOzyWq4ZX+du49fNNWn/1GqmKSE7jxk9ncfY9j9Bj4CgGekWucrXwTqM2c87wtfDPbY2EtBoYCkfHEKWWAiCpMHSPi8kbNb+Rd3UZ/HPRTKqbnFwxbwcfXHArAF5JzymXP8DVLzx8SOIBMCCxLz9OXkCkLxGHvpGb19/Kukltg3/i7joG7G7LOpt23XS+m3Mfvar3YZEb/OUut5dZX33BxSVfB3jJXPXCM0SmJ3HNDz/xaivVqDbbuHPhxW1tBo9EJ+gQgIvnXUyDu4Gjgclg4qErHyKEZoyqjhCvniHuVC5KuIPEoG5+P5O1O7L5asZHOBsdfuIBkJKXS+8db2Fs/IVmi5m8xHQu/OE9IqrKkByaA7LQ4MGwuoKWn4q4ISyUi2OPPnW9x+UjZ0MFyT3DO4jHCUKHz0cHOvA/jusWXEfjFgmXvpncsG0suWABl8yeSLkXrksfT68aC4r1K3yOWCZOXoH4G+boDx/6gpaqaEZeptJn5PhD1vu9cLtbeOqpZ/3bkirSLSwNvV5H5/R0wlKi2b5qMxvyt3LKwp+IqK1lb4zIvRclEWy00qwWgOCjZd9dqL5QJEFm31NTyPz6PGoiMoko6kWfK773t//xNV/RYIikOliia9cNNEcsZ+T9OeBtG9yarXFs6ncnsk4btAb1KmPfADt3OuJQBRFJ8SC3iluNaZCZMaYbsSFHnga+oq6a6d9cTakhD4Ns4uGoW+hy9zP+/TVh4YTXtjlvv9lrKrM7jSJMV0OG2U36vvXYW8oBUBH8mWNl2wBmTTyTgqg2Qml1KVgqruC3fHnP6XwOj4147Ij7DzDnyRn0bRwQ4CS8UypmjX73IY/RVzfy+fizsDodFMbG+8ul4haMWbUoB5k7908K4Y3LBhAdfOSRdBV5jTibPCT3DO9QKP2D6PD56EAHOnDEeG70c0ypm4K3HrpWDmHcNxMBMAowvf9DrF84FR0QHXEFoiTicvkoLWsmLTWkXVsn0vIBMCSiN6fednZAWWx6AkMrRlHy1ecAdC5X0BmLaBHbhr6g9GeQXdF4qscDU2D/oKMEzsVMkpe9wRJvn2YHJgAT6HJXLm89/YC/TlBLKaNW/wuPIYi0mydjv+FhZn16CkHGDJrCb0QWDZg81TwdnMxFY9M5WkSHRvDFRR8z/atrKNDv4b2sl3jmgP1hjW3EY/cpnVge3Qu8cOHeWejUQGdV4YAFKJOazPSlTazpamJxbzMIAiP2uTDX3c+iHltIKlrMgF2hRNcZmTu8HFlSEBSB7/Z+R0pwClf3CtTx+C1Yu6chrAt8JrrLCZhDRIoa6qkWm6gV28TgXKTy5nl9AKgJ0aJUpPxmpAonYr0HBZHOukbO6BrKmD6p5Hqs/OvbbWwurGfySyv59JohpEcHoapgOESUSn2Fg9qyFiISgohO7Zjonmh0kI8OdOB/HHajneUXLmfwpwNxOpqRFB2q6OXq9PG4q+rRWcsASM04g2XLC9nxRQ4CAk1JZu7652D0ugMIwX7ycZxmkMqvdEA6l9jZfu9KbALoz0glZkgMkkFHcHQoC19+gM83PE2VHUZGXE10UCQLCubRKGjOj5KpAnP8VzS4bmgjS78yBI+/fRR7321T+zR7VPYkp3HpozO48dvPGJK3jbCEIIKGDUSKScV24c1szvyAH+U6TI51iHIdPkMy5uZlJG2RcHWZhyk88qivO8wWwueXfMQVn1/HrbMzA/YJPvD1thD/6DN06zaBs4HMfetYfP/BE8dpB1mR9CkADN/lYvguFz8MsvJksczs3AV02VEFxPqrT1nd9rne6uUt58tHRT58VZqfx96oUvpIblrKtOWj1Jo4UokDYIdUyDp9DoktnWh0xGNzKAg6FyMba/B5I1mxu23Jp3uamTnXTPY7hfYDMmJs3PzZZgprHZz+8koEAYIMOhbdNbqdJaSuvAVXs5e0vkf/XXTg2KDD56MDHegAAN+Pu4/ecTlMdfTi33YLF6RexpbN1wHga+rGB28VkvXFXr/p3Fbo5L+PrcHjaRvkVLUt7PZ4oLHEQahixaTqme4ajQEdoYI2i1Ln5VH40Bp2PLKWXR9m8XX+LPYkCEyJv4jXz7qTf4+9nKWXfsBt0aPpLra6UwoyLy2+0i87rv7K8hHePZnbnmmTVo/yNDDGUUtpVAwP33gXD190Nd+bbcjnTsd0/pW8OOcirtj6gr++wb2b8Iafub62jmGu3dS8PIGSvMLfde3BliDeOmsGlWFtOXFkGxjvO4seX64nrNsEf3nfTkO57L9PIIgQkqwQlmKiOKEFr6TQaAV39Oh27U/Z0EKNrgaXUNVuX7NkYX3IQL6POZNd+uGcuTwdRTmYasrB0X2ftmzSuTIOX8PBn42echJnmc+gTEnEIMPU9c00Giz8GJHIEn3guXbmOnH/6rvqGW/ntUv6Y211VFdVaHL72FfVjCwrlO1roGBHDfnbq3E7fMR2Djni/nfg2KPD8tGBDnQAgLi48/jX6Rls2DCVppI+bNt5EXobyF4jRWvPR1+veVnWxhuJjQ/C+Us1IZVePvhwOzdc31drxL/scnzmNRFpIUiVfbEDIY92pWmLG2lZW9IyvSAQ4vJRn7ObnV20PB5WQwWq7KO4cht3/3wdO4XADKhnb12L2nVoa/8DBzRvSwtvX30h+msewqs3UhAUQsEB+41uJx6fjiu+uQlDpJO9v5KokVSVxecuoOCzhxD4hnghn/+8+xLnXPUA3TsfeUSGqqisnjuTHYvNKHEPUOCeQ3BkFX1mPII1OuOgx0Qn9+XOL+b6t9/f+hqvbHwLn6QyLvInopuicS0LFN7aFfsi5LTFuXgFHZvtfdls74uv1dm4yJzIhtCBzH7uZTb+8/Yj6r9XaEavau26HSkAtCgVLG8KI8UgUuZVuOL1cSQA2z5biGOlRGqlD0FRUUUBX4QFeZQB48q2zMfdH/qJjfcNREUg0q7pgfRKsLPmvvH8tKOMe2dtR6fCzk0VxDkgtpMdg1nXIY1+kqCDfHSgAx3wI9jWk6jIyZhWV9Bnj0qpzshC8WqoT6JJUsk4K5lbTusMwFPZywhuUmioOFDU6vhaPkBFlGQU2QCqQPJpKXBaCgCKT6F6WzV1myuY13Sb/4jXq5ex6P2elOkkmkSRYEXhXFsXUgSJodlLiPfJsG0FG/ra4Vez+Y1vanlbbv7oaXKTM4gYMoqfVCNNeiOSotBj1zrtelWBvRKEKSoPZ0yH6j3cXrceWRBY/M5Azm7WImDWK135Wh7Ml++s471LBzC4dzQuh5e1ebVYgg0MSWyvwlmcs4sFH67AWaPdd1NYBck3nE23AeOO6s5d3ecWZmS+SZBDJWbmXvpvehBVDGP5sBuoDG5iQcZH9HDEcM3oTlgFE3dlJ1JliMDRmlE4kXqGxRr4ukxzlq2uTeeyZ95hcrxMUnonRg2ZGHC+939+n3179zH11KnoE+4nozyRJt/ZeNV0VBS2OsLxqio5boWxI9usLd0jmtmIJnL2UctO1P49uCIHVIsOz6AIDBvacv4MfGojVr2D2TcPpHNsKpsL63h7eS7rtlXQXZZoEVSkWDMpvSKO6l514Pijg3x0oAMdCEBC8r2E+HpS6OtHF2kLlzZ2ZaDORc/meVizulHSeQp5lSLBTdpA3WVAlP/Y/YaDXwtmHSuoqoIgKKiAqgQSHFEnEtU/iog+Edz7eB5nOvU8GBnOXoOBPQZt1t5Hlnhu4jvEJGqWjrpfnoAfteiZQZkNlAUFLoms+UULOTb4vLxy592YIiJ46oD9jy5+EcogRbJxRmgG00Y/Trg9mR27ZsP69QC8GWJnXJPKjh53Ez30aoxvrKfCqHLRsp2k7C4mP0jAYRKhEsxZeTwXG82UHjEoXpmlX/7Evl/MoHZG1LmI6b2EM658FIPh6DMRq6rKpUtlpq470LpTy2nLtCuaDjhenMyAjIl8/N6LLA59kxm+8/nCM5abB4Zx9QUXI4oiEzcWcd032wBYVRfH03XBqDtUXpr3HHViYAZhPXp+XvUzZ3sdWKTl7BmRzle7l5OYfYXf9XVY31K6XXKJ/5juQ4ez8TvNL6d2J1w0pS9l8Sof71vNQ+hxjY7BtLzcX7/Fa+GGj5cTElREWV4LZhVEEXYaZF66qC9n9Y476nvVgeOPDvLRgQ50IAAeQxRFxhhUj8DXvtGkN+byj+WapDnrltD4zmsUdL8CorQMp9291TRXRBIUbWe/80RNSx75VZqsuijqkARd6/8GRFFCFPaX6ZFEHZKgRxR1iIKuXURLIFQQNB+TQ7kcbFuyhcXZIxkdlcd3nhKqJZHXQ+xEyjKXXroUUW+hobYYBRWl03SqxspELtX8NKx1TpqWLtNGrwOcZiVFobGwgKbiQpAkTTJelBB92hDaK3Y4k4ZdjtkSyaK9W/nXmneh9TLifCE0XTMPgiIZsXUfnNqW3Xbn/g9uGf3Oenyqyp2ryrnnq63YvZDuNTJMFYlM2sbw8zuT1qV9ErUjhSAIAcSjangGOY58hme2Jeyz3P41rkmvMj1Ukz2/R/813dK64LD05t5X17O1qpk93sBlKy8KJWJNO+KxH3KBTC/KqffFsm9eGgneM/zEw919C/1vvCugfvGeNgIoC2X+vl/ReSQXpHgQBQnTZImahgIWbniLJ5b2Q66Mpr6yhWaDyoj+8Vx3Shpdom104ORFh85HBzrQgQCoqsrVj92MIeR8xuTso/fiVxDVtoxxCgI7el5PdUTvgOOMcjNuSVvXTxrzXyxROb+7D7KquY8o+/9vDRJVECib8xyyWxtYXAYBUQFBVRFVLUmrp7bN4dOqc3Nj+i9HfN7GIhMlqzVfDEWAn3ofWT6Tlb2r2dealM4PxcQZ8dfz5IRrEEWR8zfsYVVz2xKVtcnHcL2RrpKBd5bsRYePJKGSfDUmQMPCJLpZc98phNn+2NKBqijs6t6jXbll9Cgcy1f6twWdQtfLXOCq95ed5n6aXaomWy+oKlERW+lWuoM+zcP5oM8mHii5gGzjBgBSgmJJnNiZFetXIJRqBG5Kcx5rmy8HRAS8VNkyqY/I5fl73vBbydyuRrYs+4lN37dd54QbIKNf4PKSy1VGaelX5O/7jsbycOo8Nn6o7UmfTj24ecI4oo5C46MDxxYdOh8d6EAHfjcEQeDOW27j6p+v5qb3VKojehFVtQUA6xnjsd/9MDULfsGSVYqvUaHebcZhCPUTDwClzoEjQhO0EtE8QURBC687kihcaX8df13V/7/RXoKjsisAJk/g3OnXc6kWn5GfSrswLmYvBlEzlWhEpvVPaBXeUlREn0JTSdvAJaowYk8Rq7skopMPZmZR8YkCTRaZhiBXwB672pvXJ/+H3jEp/rIP+qaRvmoHAFanTM6Z/Smr3MfezT8wSD+PoeJOggQnb5g782aMZl2Q3VF464bx4MwyXr/6lsPfuN+Aonoofc2DeaNIbGZ/XFu0pRPH8pVE338/FU/9B1QB1SfiqW7C0Pp1yqpAnFKB3OImxl1BZ10unw/oz6B914EE/1wl8O8UhcmKCbvoomtsOkP7jGN8n/HkV+bjdDlZ9fQuQCTYUMPZ/xyBLWGSv181lUWsn7ecwq02ZFcb8TjjjkhSMnppfZCdVFUtpKxsFmUFe/E0RSMZjUSk1dA/6Swuj70Ane5AQfgOnOzoIB8d6EAH2qFXRHc2XLqO7Me7YXTVURXem5CGHFrmLUaSLIx65pkAp1JHYRnl67LZ+cFXWFschJx3I/0mXBLQpqqqyKrc+r8Pn+xBRUZWfCiKF1n1oSg+ZMWLovpQVRmf6kVRfCit+1RV5lvdDtZXGwmRGnm291AkEXQ6EVEQ0Ekiovgl9XnZRHXuhCRKSKJIsyRiMJoQBQFJ0ObfkqBxG0EQmPPhp3R++j/k9+nP5F2fBfR76CHukaqqIMuoigKyzJVPDiE3VmGY7XKeufSedn4vNr2Or9OTeHjTUpZtuRp+gXi0v/1LNHcHR7BJ5ya2BsZvVfBKZVSEfscq+RQqGmqIth9ajv3w0C64doBC1eA8+uhm4LzuDgAqnnySA2VNK7cGkzBOQR16E7u8Xejx3gf0AGwJzYSf0YSx9loExYcq6ogIqcCtC2WOpzsDdUU8eMEp/nZSolLI3VWMR7GjonLB01MwWYwAOJobWDFrHrm/hKHKml+G3tJE2gAYdNpogsPs1NdvpKxsFqUli2muiAVVRB8EiT2MJCRcS2TEqYiHyTfUgZMTHd9aBzrQgUOia/ZOmhYuZPcb30CrxlPjD3PQx8YRdcft/nqWpFjSkmIpeuV2oqq8uNTT2rUlCAI6QXvl6NGD7vfl0HAXuSgOtWIQqumX2j46BIDIQUfVptrqQKIeRYiwIAig0/mH7FvnGLC6Wqh5ZewhHW5PSQjjP3Nmtitf1+t6YiMGcs0Nj3ANvxYHUxkVu5X+0Tu5bZhKolhFr9AkuoV1Q68/8tm+V3awsFHHvAYD4ATuIX26xH8+bi9GZh44Am5/FcEcSg8gvs8IvnjobswR1YRQzz/DHmXfuV0ZUrCF91QDav5gfIis86Uw5skf+Nfkbpw5REt1n71BC06Wgt2YLEZ8Xi9r589l5xIRn0vzfwmKLqP3uFh6jTgDn6+SsrJP2bHrO2qLdcheC6IugvDkJuLizyY25mzM5qQjvu4OnJzoIB8d6EAHDglBEAg+9VTSeg5HkVX0vyyg7IEHqXnrLVzZO7H0H4BgNCIY9IhGI1FVWmI6l891mJZ/P9TWJZhjGszbKlil/gFlVgFBW1Y6aA7dNgy54El4db5/WxYk9MWFKG/NBA5OyBRvGKpJ4sUKCxAMZRDMZp5IFpmWNvKwfduQ9xWPrn+KAndgcsaceIGrbpdIrVB58AuFmowotk7ry6esQ/huMrOnzibaGk1IdAzn/usRln3yLrqWOnomqMQ1l/Fy8/lkVvXmiak92JWzj093uih2Gbn1u1y279zFLeeNp2xvI2AkPNHE1lVL2DCnBneDZsExBtcw4Aw7vUacR03NIrbvuJbygt24m2IQhCCCosqIje9DbOx5hIQMOm76MR048eggHx3oQAcOi/C4IGpKmqmIH07LsLOxrv2elhUraVmx8qD1CxryGXbcenMcfOTV/ZaP308+1FY6dDj+ootII+/iFcR9Pg6j4ENSZQbU/QTDoQSVxsL2SeeUK4eSEFdDCUbk1jWaRoJ5pbiSaWmHPpfLU8fzK69jZvEuZAQsosBNPS9jeMrZvLX1LRYULKDFLLAjReCi+0SgFnxL/MdP+GYCDw19iGkZ04hO68yF/37av88rK3y2bxNUVfLg7KyA8xrwUZ63h1dfycZW1R8RqMpSqcoSgHAkYzPdx3jpP2EQZeWfs2L5wzSVR6OqIoYgkcTuZuJizyMy8jR0uqMPK+7AyY8O8tGBDnTgiBAeH0Thzlp6z7gf5/KhuPfuw1dXi+rxoLo9qG43O7OW4dKDs/Px01Zoox7HzvYh7rd8HIOZtXgE/UrN6MOj6pU8xHvkqPHkhwwlxqzQZ/i3xA+vZ6NpIE1xPem0YQuRhkqSLr+TS4xtpOSN3St4tDSYHDmKccu/5abECM5LGRmw3LMh7wseWf80hW4FEBgQGstTY98h1pYMwPNjnteuWVUpbylnVs4sHD4H83LnUeuq9bfz+LrHeXHzi0ztNJV7Bt2D2HqP9JLIa5f259bPN7MouxIAo07k/yakMzHZyLJFlVTnOhCV/dYWAUHykDKwhgGndaKq9itWL38WZ10coi6csKRa4uLPITbmPCyW5D/yFXTgL4AO8tGBDnTgiNF7bAJF2bWkTJ160P23fD+FvIY8Pkg8Op+Lo8N+Dfdj16Kg/vFlF39bR2g9uf6uJ+j+3zG4ZJEop5H1t49j41sSCdXfclVsJXN3nss6ey926ooZuyGH0SP7+I+dFJ3Eo6X1AOxU0ritAG4r2EaE2MIESyWhDZ/xXUmbtePOPtcwrdc/Dto3QRCIDYrl1n63AvDPQf/0E5IzvzsTj+KhydPEp9mf8mn2p2y/Yrv/WJNe4p3pA1mfV0vD/7d33/FV1ffjx1/n3J3cm5s9IBPC3gLKcFRZKnW0ddW69aE/C22trX3gaBVba2uttv2KdilgFa2jgANQEERQtuwNCSQhZJFxM+865/fHTS5EEsi4uQn4fj4eeXjvOZ/zOZ/zMdz7zmfWe7l8QGJwF9m+997Lgj8spKoikDZpQAEX3zCa0qqP2bL+FTw1iZgiLaQPjSA97SfExV2KopxpjRdxPpHgQwjRZjUVbiKdlrOm07uia+Q0oYs+orcE1qjot3FdJ3IJPHNb45cUp40XbhnNj9/cSkm1m6c/3suTD/6b91dcwoxX/khOxiH2WAsAWLViIR/u2ohJUYhLTORn107nqzGRPLD9a6p8Gnl6YNfZMi2St2uywPAE8dzB2MbWjmRH+wZoNgUkX/7wS57d+Cz/O/i/M6Yd1+f0WTiqqjJs2na2fRxNUpaDi793GQcPPsPR3S7Mdo3sUWlkZPwWh+P0tUfE+U+CDyFEm0XFWzm4qZi4VDtqC9+ySmiHgbZIaRqfEcJ7WfOOnj1RG7VUL625elgvLso6yobccuZ9eYTbLsrgB5Pv5A3vCXa8vhyiBgI6EZGVZDvW44wqoeDYIF76xMTPr76K5RcH1stYnLuKD44f52P34EAZ/C4eG3UfPxz2k07ts2M1Wrki7Ypg8LH2lrXtut6tbSf14sDaJp8vewtffQy2mCIuGPc7EuIndbhc4twnQ4eFEG2mKApZIxI4sqPs7Im7qgyNLQxaCD++aoYGVmv1msxnSdm6prae9n7X//vOMZiNgTkyd74WWI31tqse5sf/ehVHr170H/AVo0d/RErKQSIiq+jffz1Rpveb5XFd1uX4TCcX6HosTefW4S13s5yJX/NzvOY4m4s2s/jQYl7e9jIzV84MnndanG3Py99AdXUg8KgtHoTRUk3GMAfjLnlZAg8hLR9CiPYxWQw4Yq1UldbhTDh9ZkZXU5WmlUpDF3zUZwd2jD08eizDz5L2bNrbzuCwmvj994byy3d3UFBZx7OLFzPI+gcsagUjs70tXpNpWMWCTb/kltHPoaoqz+1dxyc1gQ3+vm8/yswBLY/JaVJUW8S6wnWU1pdSWFNIQU0BhTWFHK89jk/ztXhNljOrXc9VWvopAG5XEorqZcion5KWenu78hDnLwk+hBDtp4Dfd/q4jnB0u6g0dbuELvhoKnXnRqoEcjF0oApuGJ3G2xv28UD2g9SVWDFpPhSzRn2dBWusG0WB0obeNMRPIK3mXfxeKwnlS1j1+UIq+r7Li8cNoMBQ9SBzxtxwxnt5/B6mvDel1fNGxUiKPYXe9t7Bn172Xlyednmbn0fXdQoO5VBTOByjrYJ+Iy8itfeP2ny9OP9J8CGEaLeENAfH9leQX+UmrpediKizd1fouo6ma2hoJ1/rGjonl10/9VjT6+AxXUdDw+0N7J4aypaPUAh2u3QwAPvH7WNY8lI8JduabyBnidKImxZNev9rqd3dwL7V/wqeM9lLsAz6N3qf+4nXjvDhJdedtavF5XGdduzOwXfynbTvkOpIJcGWgOGMOwu3rqHWS9HhwFK4AwbfQ2J6FGZzPMnJ13YoP3H+kuBDCNEhvQfE4GnwcWx/BVkjEpqdu+eTezCr5maBRqhmwLhtYyBhVEiDj53V9aQDJe6Wuznao6PjO+McMSj2ifjUQ5TEp2Cvq8ZRU4XbpVLyYTllxq9AvZhT4wJvTSL1+RdiSDvG4nHjsBnPHgTG2+K5e+jdzN01N3hs/p75qIrKw2Me7lDZa6vcFOe6sEYayRgah9I46NYRe0+H8hPnPwk+hBAdZrYaiU9zkLOtFLPVwODoIRyuOgyAR/N0OF9VUVFRURQl8LrpBxWD0YwLsJvbPvjxbBr0zgdGWmMexa4GhnYwj9rLf8681L1URCdgyK/FdLiK9OoTjKv1k9iQh8H3BUbbZajGk1Nba10ZRJU+w/ULi3nxOy8yOWPyWe/z8OiHubT3pdz9yd3BY16t/YGXp95Hwf4KIqLMZI2I79TMGvHtIsGHEKJTHLFWHLFWPA0+HvA/zA2RdxCZYCYq3hoMGoJBRGNAYVAMrR4/2xfYyhMubt2RgzWEW6j3twVaDGJMnf9I9Pi1dl+TX1bCosVPcsIUjTn+CowHqjDmBrqXBvqSyFCM0Mpmaqv6rcToKwbg55///LTzc6fNZUzymOB7Xdf5KOcjnt/8fPDYd/t8N7jIWFvomk7e3nJUg0LW8PhgS4cQbdWudstnn32WsWPH4nA4SExM5Prrr2f//v3N0hQVFXH77beTnJxMZGQkF1xwAe+//34rOQohzhdmq5GMIXFcMHYAZpeDGCWepMgkEiISiLfFE2uNJdoajdPixG62E2GKwGa0YTFYMBlMGFVjm/5yNjWmA73NgwAALJ1JREFU8YagtSJYdn9gZ1eb9ewLqJ1Ngt3a7mvSXurHT/IX8FTOy2zfeAPJuccAGBZrY4TnZECka3WoQG+TQm+TgjmhkrsuG0ikqfX9T+7+5G6WHVnG8ZrjzN89n1s+voXH1j5GeUM5fZx9eG3aazx7ybNnzONUlSV15GwrJaWvk7SBsRJ4iA5pV5i/evVqZsyYwdixY/H5fDz22GNMnTqVPXv2EBkZ+MW94447qKys5IMPPiA+Pp4FCxZw0003sXnzZkaNGtUlDyGE6Fkyh8Wxb10R2aMTMVlCu2S2qfHLzqu1HnxomkaNx09NvY/aBh819V7q3D7qGvzUN/hocPtocPvxuP14PX68BQ4s6dPIWPcVuTffckpOLdyjpaBHhwifG4D/LFrH/n/O5YJtq2iwO8m/8IrGiTBKcEBIfrSTjf0GctyczIHtJaSrL/Ij9TP6KQVcrm4jmhOMc3/AwMN3461fg+6vxJGcgd0RQXplOunWaF61fIauAO/A4gcX82HJh/z1678CMCl9Ep/lfRYs3iOrH2lWXKvBygMjHuDOwXdiMpjOWucAml/j6K4T2GOs9L0gsU3XCNEaRdc7/udDaWkpiYmJrF69mksvvRQAu93OK6+8wu23n5zPHRcXxx//+Efuu+++s+bpcrlwOp1UVVURFRXV0aIJIbqZpukc3FTMgIuSQ5rvlqpapn99kHH76hldqqF4NRSvjsGnY/BpGH1g9OuoHfhkS89bTnbOok6V764pj/LU+tfIrA50heiNP03NzCtHj+O39/0MANPmMgwn3C2Xpb6e77kK0OpWNDt+Ve/7iDLH8W/rZ82OP/HEExiNzf+ePFBxgB988IPg+zFJY5iaOZUpGVOItzWfVXMmtVVuCg9WkjUiHqNJ9l8RLWvP93enOjirqgJTqmJjY4PHJkyYwH//+1+mT59OdHQ077zzDg0NDXznO99pMQ+3243bffIfn8t1+jQwIcS5R1UVYlMiqalowB7T/q6I1iSYjSRW+piyvb5N6X0q+IwK/sYfzaiimxQwqWBSUcwqtoJKLLVG3OZILIMHt5rXmbqFSjQjuxy9mRQHJYl29vRpPialX1E5ev8J/PbW204+S5qd8laCjzybjQJ3PL3qmh+PMgcGmw7xpbLbWBA8/vmKlUy+cmqztP1j+rP9ju2syltFsj2ZIXHt30el+IgLb4OPfmOS2n2tEK3pcPChaRoPPfQQEydOZOjQk2O733nnHW6++Wbi4uIwGo1ERESwcOFCshtXEPymZ599ltmzZ3e0GEKIHiwh3cGRnWWUFdTgiLUS17vzg0TTbRaeqI+gFBcGp4nEa9KxWYxEWA1EWI1EWo3YbSYcFiN2mxGT8eRf6sVbD7Nn0VYibRrp47KJHzcEo9XC6qfeYVdtPLaMDPr89YkOlSsLuKjx9b9vWwze5kHFweRY7v/NT7n26wN8EBXPRWXHWXzLVfwkdg8frMpF0cEYacTkqqXeEBh7cmHyUQauyeV4tJ3dqQmYFDOa6qEifQWx/d9hoqZw+NBFFBX1I7NvnxbLpSoqkzLav5y5runk7igjNiWSpExphRah1eHgY8aMGezatYu1a5tvNPTrX/+ayspKVqxYQXx8PIsWLeKmm25izZo1DBs27LR8Hn30UR5++OTccpfLRVpaWkeLJYToYTKHxaPrOkd2lIUk+NB1HfeeSgAm3zSA7NFnHn+Q+8nX7P1oO8VVFuoikoFAS+2mI5Xw1hrMWj0eQ6ALQvN0fHrwqRKTe1GVnwvAhFHj+GrregA++eXPcE75AUTFsykmkTmLlnL/wGxG3TqSp9/bga/Wh89gwej38cCuDxie+xUAGSdcHE6MQbfaqOq1lrL+7wCgqjpDBuRw7/X/xJTctgGjbeH3axzaXEKfkQkhH7MjBHQw+Jg5cyYfffQRX3zxBampqcHjhw8f5qWXXmLXrl0MGRJo3hsxYgRr1qxhzpw5/P3vfz8tL4vFgsXS+RHmQoieS1EUFEWhoqiWmE5+SZbl1+AqawDAZjeh63qr3SFLH32fnIoYIANO2YbGpLvx6yqaasJjOFkeY2VRp8rWJCEuiYP5ufQ2RzB+1hMU3PoD8vxujuLl+PF86DsUzWDgt84UOF7LQFcZ7nEJGHdVYnF7+OsHf6GPq3lZbN5aKsxGVm35iiGn9Az1yrixSwKP7NGJGIw9axVZcf5oV/Ch6zo/+clPWLhwIZ9//jlZWc03GqqrC3ROqmrzX1iDwYCmtX/uuxDi/JE5PJ6Dm4uJird16kttxbw9wdeLXtxKVLyV7DFJpA2KpbaiAXe9D59Xo3jjvsbAI2BE33pS+seSdc1FqKqK5vPj2ptLdUEphfP+S0NhCcn26k49Y1DjjJym8fyX//JRljz/e0r9HgYf3Mb2YeMpdUYHk++LsgGQlVrHxYd2kDdqAH1Wnww+aqzwyYXl5CXUcMPnvTm6dRhjLh3NgOH3Y7GEbiyGBB4iXNoVfMyYMYMFCxawePFiHA4HRUWBfxxOpxObzcbAgQPJzs7mgQce4PnnnycuLo5FixaxfPlyPvrooy55ACHEucMaaaKh1kuks+OtneWFtcHXRrOKq6yBr5cd5etlR7+RMjCF1Oyu4p5/XIPB3PzjTjUaiB6WTfSwbLR3/01d6VYMkZkdLlezvIMtMYHgI/6CMYz50UyWvv4CFo/C7evghSubXzNpVx0TdttxW/pTnOLjv7fcDLqOyetlRZ+VlJlqAR/zrj7K8huWkxwZ2llEAHm7TkjgIcKiXcHHK6+8AnDazJW5c+dy1113YTKZWLJkCbNmzeKaa66hpqaG7Oxs5s+fz9VXXx2yQgshzk1pg2LJ2VpKn1EJZ0/ciqv+3zC+ev8Ql9zcn179ojmys4xDm0s4frgSk8WAZd96DL4GjL56Yir2M/Kfz5wWeJxG16g3GWnbihdtoDS1fATe+v0+inHRYPJj90OWw4Si6+iN6QyazkXFga3sLe54nOXDsUev4pgaB2b4T0EFpp8v5+P8FQyOG9wlgYffr6EaVAk8RFh0ap2PriDrfAhxfsvZVoozwRaSwaffVPyHP1I+bx4AamQk2atWYjjD50hlzmG2vvYv9u3ZTp3JwKAGjasXL+l0OX437w1eygjMArRVLcFe9RaKrqArOgNrs7i58DryLV6GRAylWneR7YpiV0YuC8tXMzb/KvLj1/GS4xP0qjwAFLMDZh2FDu42ezaaX+Pg5hL6jErAZJYBpqJjwrbOhxBCtFefkQnk7yun5KtCMofHY7OffSfWtqr+9NPg6/6bN7U4ENVTV8fut99gz+crKGqoDbRSNC6cVRsRmvVIFvfuH3xtr3oLgAfW/wVD4ofEDN1KkbaGqrJMfDUO0pQI4jw6/Qals//gBvYnbuCRiGz0XXnoWmO8cevbXRZ41FS4KcqpksBDhJUEH0KIsEsbGIuu6+xbV0RCuoP41NNbQZoCh6FDh7Jz585mxzIyMjhy5Eiz9P6aGvTGMRYpf3i2WeCh6zqHv1jFzvff4WhRPv6mc4pCnK7gM5uo8nrAHJpAaLq+ib8zMfje6g3MRsm+9EMUVSc+Pp/9+/xsLAF0uEodxZ+3vxackfPDKXM4+pdLqD9hJnrSKOKSLqDqaC7uulo0v0ba4KEoaue7R7weP8W5VWedrixEqEnwIYToFoqiMGhCCqV51ZTmVZOQ7mgxXVlZ2WnHKisrm733FBRQ8OCD+AqPo9rt2Bu3e2jy2WOPsD1nX9ONifD66NsrneE3/4jkSy5j7TNPsWHHZkLVC53MXmgMPk6Y/4Hl4GE+ii5g4ClrvvfN3kRJSV8Alpq34tX9wXO+P42g/kQ8XlXlv8WV+O+66bR73Pq7P5PSb0CnynlkR5ns0yK6hQQfQohulZDuoGB/BeXHa/F7NeJT7W3aKVXXdTw5OdSsWcOJf/4Lf3k5xsREUl9+GeMpWz40VJSz++AeMKhkYmLY5Kvo+6PbMEScXPhDUdRgnqGQWl7No4lP8RI/pzrWjqbGs5fmyw0YjV5inW7KqwIzf46ZS4j1+/nn8RIajppANVGRmITfoOIwxWE1RFDakB+8fufKTzoVfBTsr6BXv2hU2ZVWdAMJPoQQ3S51QAyledWoRoXtK/OJjD45Fbe2tva09PXV1Ry69DJ8paXBY5bBg0h75RVMSc3Xvdi94D/4DCqRfo3v/fc9VMPp4xqa1iYKVfBRUpzFkIQ3eFm5lyJTCjUTenFRn3upOLkVC5qm0uCtByxoKORn/Z1ZMQ2YLrdSNP1OIi55hL4xmWTqfgzKyTJ/nP9PanwV+DqxGmtVaR0ms6FTU56F6AwJPoQQPUJTt0tklCU4dgMCe4x8k65pzQKP6BtvIOmxx1BtttPSVh48AEBSXFKLgQcQHD8RquBjgNfBpp2TGDZ8Bb0oBHMh+fuKsdsD02/37b2Yiore+P1mKiLsHE7oja6qPFsVwU5fBDOm/BaHLbCB3KmBB8D0tPspdx8nt+FAh8qmazpl+TXS3SK6lQQfQogexWpvvtpGfUM9J47VkFO4N3jM/41rKt99D9eny4m8cCwR48YROW4c5j59UBQFf+PqykZL64NJlcaZJKcGPZ3hLSigMjqFkuIsEpMCe7zY7YEuE0UBozGCX//698H0e2vq+cX+fNx51Tz1STE0Bh6tibWk4HQlomt6m7qoTpW/r5y0wbFnTyhEF5LgQwjRI9ntdmpqavD7/Vw2ZQK79+48eVJVyVr4P+o2bqR2/QbqNm5Eq6qievkKqpevAMCYkEDEuHHUHzwAUTZUpfXZIaqhqeUjNGU3xsaC5uf4piFk//B2PN4yPO5y3O46vv7ahNncvNVhkN3G4lH9eGDf5rbfw2AGTQ8u5d4W7joviqpgtspHv+he8hsohOiRVq5cyYUXXgjQPPAgMFPGOmgQ1kGDiL3zTnSfj4bdu6ldv4Ha9euo/3orvtJSXB9+SF164IveZj29SyaYX1O3S4haPixZmXD4MBEmK2PH3hk8XlRUxLr1r7Q4o9ekKvz7xgs46NtDdGY0zhQ7KASaSpTGRVMbXwMY42wo7VyNtGB/BX1Gdnx1WSFCRYIPIUSPNHbsWMxmMw6Hk/r6ekw2K797ejY/mTGj2W7aAIrRiG3ECGwjRhD/wP1objf127ZTsnQH/SusxDQUYKmPoWDWGjTdT3VMNabUSKIG9iLxgv4hn+3yob6OhVlrAJgz/xsrpmZBv/p+LV6nmg0MuHNYSMrwTVWl9TgTIlrdAViIcJLgQwjRY9lsNjyeBj7++AN27lrOZ8uXo6oqmZmZZ7xOtViwDh6JaaGbJBsk2TJOnlMMOCujoRJ8u0o59E4O1W4wKuaQtXwUq+WnD0w5xTHbsZDcpz1OHKuRVg/RY0jwIYTosbKzs6mtreW6667HZjHw1NO/Z/HixW261lfeEHxdrhWjJpqhyo+aYsHrasDoUon0RRGhOsi2jSG5dzbbSxaGpNxjbH35qmY3AA/1eQiDYmBi34nM+eJnfNaQTx11IblPW1WW1OFMaL3bSYhwk+BDCNFjTZkyhXnz5rFo4bscO/Ql7y1ZQmRk5Gk7a7fEtfwoABGjE0m98ZIW07hdNRz9eBPa5hrspmj628dz7JFfoXu96F4v+Hzofj+G2Bi8hYWokZGkPPkkpl69znjvJGMMAIMqIojY+BsWOyL58+HuW1OjvLBWWj1EjyLBhxCix3r00UfJzc3lmmu+R0SkiV/9aiZHjuSd9bqGw5W4D1WCqhA1KaPVdJYoO/1/eDnHChegl0bj1Ey4PvzwjHkfumISCQ89RPz/e6DVNIbqOmb/x8fe9GpWx0fTKw8uLPNTFqVg8cLOrPCNu6hzeWQxMdHjKHqoRliFSHu25BVCnP/KCqqprfSQMfTMa1800TWdY4+tBSByfAox12Wf/R7zP6FhbwT+8sO497yKYjCAqqJ7PPhPnDgtvW3UKDLfWtBqfptvuIrIXUdaPa/aYcDmva2eD6UjO8vIGBonA01Fl2vP97e0fAghejRrpInaKg8F+8pJHXj2xbFKXt4WfN2w5wTF+dWBhbjUwHxVX/FxPLm5oGsY4+NA0dG9BhRrBGpEJP3XrmmWn+foUeq2bcM6dCg511yLomnUb93K5rvuCHyhqyqo6snXioIpr5Qz0Xwmtn7yEdZIO/0unIAxRLvptkYCD9HTSPAhhOjR7DFWbHYzB7cUk7O1lMzhccFFwVoSfXUfSv+5AwB/lQd/1Tf3QInAmDSk2ZHgCuaG06eomDMyMGdkoPv9KNrJzeEi12/q0PMAuH1+Vr72dwAm3ftjRk69usN5nUlNhVu6XESPJMGHEKLHM5hUBo5LoSi3ioZaHxFRrbcUWPo46f3bCbhzXYF1O/w66Dq6Bmg6x5/4NVqDG1QDzmuvDewdowEKOK+c0Gq+isFA4cC+9Np3GIAKmwXz8GGga4GVRjUNdK0xPz/G8kp8zij8VguK34/i84M/8FObmY5T8VJVXES9qyrEtXVSWUF1m7urhAgnCT6EEOeMhHQHBXsrzvqFqpgMWPvHtHzSl4cvP5eM/7xOxNix7br/pEUfsem6a7DvP4Rt+DBGzf9Pu64/lf/fc9i+fGnIFjZriaIo0uUieqT2rc0rhBDdSFUU/D7t7Am7kBIfD4B1w2aqDh/q1rIIca6S4EMIcU5p7y6uoWZqDD4Acl95uRM5NT1H17R8+H0aqkFaPUTPJMGHEOKc4XH7MRg7+YXa2A3R0e6OgY8/gb8xANIbGs6Suvt4GnxYIqRnXfRMEnwIIc4ZrtJ6IqK6d/aGJcpJ/bDAbBnTZ6vYfNGFuCsr2p9RMAgKZelO8tT7MFsl+BA9kwQfQohzRp3LQ3yqvbuLgXXgQAAMOkRWVVPy5dp259HV40A99X7MNgk+RM8kwYcQ4pwRn2Ynd0cZxw93YnpqCL71h83+LUnvvxt8r1qtnc4z1HweP0azfMSLnkl+M4UQ54xIp4Ws4fF4GnyU5lV3LrNOdnfEDhmK1xhYnUy19rwdY21RZupOW2BNiJ5Bgg8hxDnHGmECOj5oNFTUxhVPDbae1/LhiLVSXdFzB8SKbzcJPoQQ55ykrCgskUaO7jxBWUFNt5RB13VULRD8GDrU8tG1U20NRhXN36P2DRUiSIIPIcQ5KSrORlJWFHVVbvz+diw8FqqBnl5vMCtDRM/rdgG6Kq4RotMk+BBCnLNsDjOOOCs5W0uprwnv+AbNc/J+HWv5EOLbS+ZhCSHOaTHJkUQnRpC7vYw+oxLafJ1r6RIadu8OzH5RGredVxQa3wSP07Q/SrNzoNXVBfPat/ErbFFOCstO4Nd0dL8Pd2U5DrMRVTUE9lhR1UBeaiC/wgN7AdD1rlsu3mhW8br9mCyGsycWIowk+BBCnPMUVSHCaaa20k1k9JkXIVMtgcGhlW//NyT39qkKX7w5F3dcMp7E1GbnbHkHMNa6znh96ZHckJSjJQnpDkrzXPTq18ome0J0Ewk+hBDnhZiUSEqOus4afCT+6ldULVoEmj8wW0YnsMxo0w96m49XFRdRGmMnLbsP+9yBARaqrqM1riXij3AQiQa6jk7jtejoOvi9HjS/n8jo2C6rE7PViKfB32X5C9FREnwIIc4LFpsRs9VIyVEXiRlRraaLvOhCIi+6MCT3TGv879KlS9E2bMBht1Ndc3L2zTV33M2wC8e1eO3qN15j84f/wxwREZKytEZRFDRNR+3mDfmEOJUMOBVCnDeSMqOor/aG9Z4nTpxg06ZNAKQmNh9z4nG3PgjWYAz87af5fV1XOCC5r5Oiw5Vdeg8h2kuCDyHEecXv67oBnC359NNP0TSNfv36MX78+Gbn9DPMdVUNgUGgmq9rgw+LzYinXrpeRM8iwYcQ4rwSGGTZyaXX2ygnJ4f9+/ejKApTp05l55bNwXNW3c/I8RNavVY1BFo+ti9fyrF9e7q0nJZIU9inIgtxJhJ8CCHOK45YK3Wurv+iraqq4vXXXwfgggsuICEhga83B7pfFHcDD/7sIYxGE6/NfYrZD3yXZx7+Pgf2nwxO0gYPC74uzjnYpWVN7hNFUc6ZZ90IEU4y4FQIcf4Jw9jKd989uavtli1bcNjtaJbAYmO6xYozNg6Px82JTzZh1xWo9LD08d9waNJVrDl6FL/BSFLj9c6klC4tq6IoKAoy8FT0GNLyIYQ471hsRnJ3lOGu77rxFA6HAwBNB5dmYf7K7RRqUTTtdXdw53aen3kTqh74so+qd+MzqOz9/BPic/eRdGhXMK8Ip7PLytkkuY+TkiPS+iF6Bmn5EEKcd5L7ONF1ncNfl5I2KAZL4y64oXTzzTezZs0a5n26mc+8/YPHozwNpKmVHHzjM4a5AoGH0e9h/MFj7O0VR158INAoju/N4fR+fDc1iaQ+2SEv3zdZI0001IZ3JpAQrZGWDyHEeUlRFDKHx1FypOsGnyYkJFChN1+nw6Vb2e1P5ktlAF87RwIQ5Utj9WUvEZE+jVFHirg29U6um3yY+/uuxhmps3bVWg6s2k7DgQo0d9fNTFHUwJofQnQ3CT6EEOetgn0VJGQ4uiz/gQMH8ubjd7R63qwFBr5Wx44F4IhlAilVtdQMWkuDMxdj7B4KC1aycs0qFqxeyOG5Gymbt6vV/DorKTOK4lzpehHdT7pdhBDnrZS+To7sPIHZZkT361gdJnxuP/FpDlSDgjWy890xVquVC9Kj+Tqv8rRzSe4S/CpYjL2Dx9yWaMr7fBR8n5w4mrKyEwCYdSP+cneny9RqWSNNuOuk60V0Pwk+hBDnLUuEiQEXJQffN9R6MVsNfP1pHvYYC3G97DTUedF8OmargZTs6HbfQ1EU3n9wAqXVbvIr6tiYl8OLG97EqHmptqtkHr0HRY0MpvdZmn/sVucHWiLsuhUbZrw19dR8VYg5zYE5LfStNoqioGs6isx6Ed1Iul2EEN8a1kgTqkFlzFWZDBwXmN6a0sdJ2qAYjGYDBfsrqK1qf8uDoigkRlkZnRGLy/IZloQVGJJWM/D4taiG6GZpLVpZ8PXAA9VM1+YAOglaYD+a6voTVH5wmJI526j+8liHn7U1sb0iKT9eG/J8hWgPafkQQnxrJaSfbFmIT7NTW+lm/eIcJn4/G6u9Y10y9w67F5vRxsGKg6iZR+GtQcFzycfXUUosl6/ahWpoOurGoPmxFR9jvf8odd5qpo25D29hLVVLcrFkRGFODV0LiCPWytFdJ4jrbQ9ZnkK0l6Lreo8a+uxyuXA6nVRVVREV1frOlEII0RVqKhrYujyPtEGxZA6LD1m+x4//j73bH2FN8UXUHujFc6Z/AfBm3JUUrveg+gJjMaJM8dz15zkUv/g1AMYEG0kPj0ZRQtdNcnTXCTKGxoUsPyGgfd/f0vIhhBCnsMdYufiGfhQcqODIjjIaar0YjCquE/X4fTpDL+1NRJS53fmmpHyfpKRruLAuB11x8O6xe6mKiMfx5iuovo3BdAbFGAw8gnRCu2qrgoz7EN1KxnwIIcQ3KKpC2sBY0gbHMnB8Cv3GJjHkkt6kDYrl0JYSPn9zHzs/LyB3e2mb8ywrK+Pll//B0aM+HJG9uLH/IO5LTeD7D/0KTmnViLWcHCBrGxZP0kOj2x0kZGZm8pe//KXZsZEjR/LUU08BEJ9qp+xYTbvyFCKUpOVDCCFaYTCe/PvMGmkipa+TlL5O/D4NRVUoOeLi0JYSskbG4633Y4k0tto9smjRIsrKynj33XcZMmRI8LjJYuWhNxZSWXwcg9FEVEIiCkpg3XaDEtLuliaRTgsnCiT4EN1Hgg8hhGinpqAkuY8Tn8dP7rYyyvKriU6KYOD4ljeJGzhwIAUFBaSlpbWQn5G43t843sVdIj1qsJ/41mlXt8uzzz7L2LFjcTgcJCYmcv3117N///7T0q1bt44rrriCyMhIoqKiuPTSS6mvrw9ZoYUQoqcwmg1kj05k3PV9MRhVdq85xu41p0+Rvfjii3nqqae49957Q3bv1rpXKisrQ3YPIbpCu4KP1atXM2PGDNavX8/y5cvxer1MnTqV2tqTc8bXrVvHlVdeydSpU9m4cSObNm1i5syZqKoMLxFCnN+yRycSkxyJoiqU5lfTUOvF5w3s1eLz+NF1nVBPMHz66adPC0Cqq6tZunQp9fV55OfPp8q1Ha+3+cqmZquR2squW01ViDNpV7fLsmXLmr2fN28eiYmJbNmyhUsvvRSAn//85/z0pz9l1qxZwXQDBgwIQVGFEKJnU1SFXv2iSenrpKbSTckRF0W5LvxeP1HxNowmlZpKN9FJEdRUuLE5TBiNBlwn6nEm2Cg5Wk1cbzuusnriUu0kpDnaNbNG13U0zYuqqrhc5dhs6VitvfF6osjJPURt7SHKylahKAb8ploKjybSL3p0F9aIEC3r1JiPqqoqAGJjYwEoKSlhw4YN/OhHP2LChAkcPnyYgQMH8swzz3DxxRe3mIfb7cbtPhl9u1yy6ZEQ4tymqAqOWCuOWCvpQ5qvp1F4qJLoxIgWg4qsEQkA+P0ahzYVs2/9cQoPVhIVb6OuykNc70jGTs9q9b5VVVsAP2aziR07drF69Wfo+kH++tc5GA1mIiL6Eh9/OQAH8teTmt03dA8tRDt0OPjQNI2HHnqIiRMnMnToUABycnIAeOqpp3j++ecZOXIkr7/+OpMmTWLXrl3069fvtHyeffZZZs+e3dFiCCHEOaVXG/aPMRhUBjQu/37B1Izg8dztpayYu4fJdw8GaNad7XLtQNf9+P0G7HYH8fFxXHPNtURHx/Lb3/6O3NzcZjNnohOSqCgpIsJ+9vIIEWodHogxY8YMdu3axdtvvx08pmkaAA888AB33303o0aN4sUXX2TAgAG89tprLebz6KOPUlVVFfzJz8/vaJGEEOK8ljUigWGXp7L3q+NUFNWSkJCApmnouo7JFEN5+TFyc3PRdZ0bb7yJygoX77/6D8YN68/rc17g+1Mu5csPF/HFov9RkncUZ1xidz+S+JbqUMvHzJkz+eijj/jiiy9ITU0NHk9JCUTqgwcPbpZ+0KBB5OXltZiXxWLBYrF0pBhCCPGtk5QZRW2Fmz1fHmdYv7Fs3bqVTZs2MXnyZGbNehFVVamoqODQ9p18/fmnWCKspPUfTITdCYDP60U1GGQSgOhW7frt03WdmTNnsnDhQlauXElWVvO+x8zMTHr16nXa9NsDBw6QkZGBEEKIzuszKoGJP8jmpz/+Bakp6bz11luMu/QyTP0HYzAYQIc+w4YwZtJVDJ94RTDwADCaTBJ4iG7Xrt/AGTNm8MYbb7BgwQIcDgdFRUUUFRUF1/BQFIVHHnmEv/3tb7z33nscOnSIX//61+zbty+kc9uFEELA8AlZrFyxikvHT8bX4GHtW4t57g+/o1diLwkwRI/Wrl1tW1vmd+7cudx1113B93/4wx+YM2cO5eXljBgxgueee67V2S7fJLvaCiFE++3Jr2Lzl/vppeeSOSSL7OEXdneRxLdMe76/2xV8hIMEH0IIIcS5pz3f39IuJ4QQQoiwkuBDCCGEEGElwYcQQgghwkqCDyGEEEKElQQfQgghhAgrCT6EEEIIEVYSfAghhBAirCT4EEIIIURYSfAhhBBCiLCS4EMIIYQQYSXBhxBCCCHCSoIPIYQQQoSVBB9CCCGECCsJPoQQQggRVsbuLsA36boOBLbmFUIIIcS5oel7u+l7/Ex6XPBRXV0NQFpaWjeXRAghhBDtVV1djdPpPGMaRW9LiBJGmqZRWFiIw+FAUZSw39/lcpGWlkZ+fj5RUVFhv39PJnXTOqmblkm9tE7qpnVSNy3r6fWi6zrV1dX06tULVT3zqI4e1/KhqiqpqandXQyioqJ65P/cnkDqpnVSNy2Temmd1E3rpG5a1pPr5WwtHk1kwKkQQgghwkqCDyGEEEKElQQf32CxWHjyySexWCzdXZQeR+qmdVI3LZN6aZ3UTeukblp2PtVLjxtwKoQQQojzm7R8CCGEECKsJPgQQgghRFhJ8CGEEEKIsJLgQwghhBBh9a0NPp555hkmTJhAREQE0dHRLabJy8tj+vTpREREkJiYyCOPPILP52uWxu128/jjj5ORkYHFYiEzM5PXXnstDE/QdUJVN02+/PJLjEYjI0eO7LpCh0ko6uZ///sfU6ZMISEhgaioKMaPH88nn3wSpifoOqH6vfn888+54IILsFgsZGdnM2/evK4vfJh9/fXXTJkyhejoaOLi4rj//vupqalplmbTpk1MmjSJ6OhoYmJimDZtGtu3b++mEodHW+oFYN68eQwfPhyr1UpiYiIzZszohtKGV1vrBuDEiROkpqaiKAqVlZXhLWgbfWuDD4/Hw4033siDDz7Y4nm/38/06dPxeDx89dVXzJ8/n3nz5vGb3/ymWbqbbrqJzz77jFdffZX9+/fz1ltvMWDAgHA8QpcJVd0AVFZWcscddzBp0qSuLnZYhKJuvvjiC6ZMmcKSJUvYsmULl19+Oddccw1bt24N12N0iVDUTW5uLtOnT+fyyy9n27ZtPPTQQ9x3333nRXDWpLCwkMmTJ5Odnc2GDRtYtmwZu3fv5q677gqmqamp4corryQ9PZ0NGzawdu1aHA4H06ZNw+v1dl/hu1Bb6gXghRde4PHHH2fWrFns3r2bFStWMG3atO4pdJi0tW6a3HvvvQwfPjy8hWwv/Vtu7ty5utPpPO34kiVLdFVV9aKiouCxV155RY+KitLdbreu67q+dOlS3el06idOnAhXccOqM3XT5Oabb9afeOIJ/cknn9RHjBjRxSUOn1DUzakGDx6sz549uyuKGnadqZtf/epX+pAhQ5pdd/PNN+vTpk3r0jKH0z/+8Q89MTFR9/v9wWM7duzQAf3gwYO6ruv6pk2bdEDPy8trNc35pi31Ul5erttsNn3FihXdVcxu0Za6afLyyy/rl112mf7ZZ5/pgF5RURHm0rbNt7bl42zWrVvHsGHDSEpKCh6bNm0aLpeL3bt3A/DBBx8wZswYnnvuOXr37k3//v355S9/SX19fXcVOyzaUjcAc+fOJScnhyeffLI7itkt2lo3p9I0jerqamJjY8NVzG7RlrpZt24dkydPbnbdtGnTWLduXVjL2pXcbjdms7nZxls2mw2AtWvXAjBgwADi4uJ49dVX8Xg81NfX8+qrrzJo0CAyMzO7o9hdri31snz5cjRN49ixYwwaNIjU1FRuuukm8vPzu6XM4dKWugHYs2cPTz/9NK+//vpZN3brbj27dN2oqKio2YckEHxfVFQEQE5ODmvXrmXXrl0sXLiQv/zlL7z33nv8+Mc/Dnt5w6ktdXPw4EFmzZrFG2+8gdHY4/Yv7DJtqZtvev7556mpqeGmm27q8vJ1p7bUTWtpXC7XeRPUX3HFFRQVFfGnP/0Jj8dDRUUFs2bNAuD48eMAOBwOPv/8c9544w1sNht2u51ly5axdOnS8/bfU1vqJScnB03T+P3vfx/8vC0vL2fKlCl4PJ7uLH6XakvduN1ufvjDH/KnP/2J9PT07ixum5xXwcesWbNQFOWMP/v27QvZ/TRNQ1EU3nzzTS688EKuvvpqXnjhBebPn9/jPijDWTd+v59bb72V2bNn079//5Dk2ZXC/XtzqgULFjB79mzeeecdEhMTu+QendGddXOuaWtdDRkyhPnz5/PnP/+ZiIgIkpOTycrKIikpKfjXan19Pffeey8TJ05k/fr1fPnllwwdOpTp06f3uM+WswllvWiahtfr5W9/+xvTpk1j3LhxvPXWWxw8eJBVq1Z185O2Xyjr5tFHH2XQoEHcdttt3fxUbXNehdC/+MUvWh2A06RPnz5tyis5OZmNGzc2O1ZcXBw8B5CSkkLv3r2bbSE8aNAgdF2noKCAfv36taP0XSucdVNdXc3mzZvZunUrM2fOBAIfGrquYzQa+fTTT7niiiva/xBdJNy/N03efvtt7rvvPt59993Tuhp6inDXTXJycvDYqWmioqKCzcw9VXvq6tZbb+XWW2+luLiYyMhIFEXhhRdeCJ5fsGABR44cYd26dcEvlwULFhATE8PixYu55ZZbuvRZQimU9ZKSkgLA4MGDg9cmJCQQHx9PXl5e1zxAFwpl3axcuZKdO3fy3nvvAaA37pwSHx/P448/zuzZs7vuQTrgvAo+EhISSEhICEle48eP55lnnqGkpCT4F+ny5cuJiooK/uJPnDiRd999l5qaGux2OwAHDhxAVVVSU1NDUo5QCWfdmEwmdu7c2eyal19+mZUrV/Lee++RlZUVknKESrh/bwDeeust7rnnHt5++22mT58eknt3hXDXzfjx41myZEmz65YvX8748eNDUoau1JG6aupieu2117BarUyZMgWAuro6VFVFUZRg2qb3mqaFrtBhEMp6mThxIgD79+8PfsaWl5dTVlZGRkZGCEsdHqGsm/fff79Zq9imTZu45557WLNmDX379g1doUOlmwe8dpujR4/qW7du1WfPnq3b7XZ969at+tatW/Xq6mpd13Xd5/PpQ4cO1adOnapv27ZNX7ZsmZ6QkKA/+uijwTyqq6v11NRU/YYbbtB3796tr169Wu/Xr59+3333dddjhUQo6uabzpfZLqGomzfffFM3Go36nDlz9OPHjwd/Kisru+uxQiIUdZOTk6NHRETojzzyiL537159zpw5usFg0JctW9Zdj9Ul/u///k/fsmWLvn//fv2ll17SbTab/te//jV4fu/evbrFYtEffPBBfc+ePfquXbv02267TXc6nXphYWE3lrxrna1edF3Xr7vuOn3IkCH6l19+qe/cuVP/7ne/qw8ePFj3eDzdVOrwaEvdnGrVqlU9erbLtzb4uPPOO3XgtJ9Vq1YF0xw5ckS/6qqrdJvNpsfHx+u/+MUvdK/X2yyfvXv36pMnT9ZtNpuempqqP/zww3pdXV2Ynya0QlU3pzpfgo9Q1M1ll13WYh533nln+B8ohEL1e7Nq1Sp95MiRutls1vv06aPPnTs3vA8SBrfffrseGxurm81mffjw4frrr79+WppPP/1Unzhxou50OvWYmBj9iiuu0NetW9cNpQ2fttRLVVWVfs899+jR0dF6bGys/r3vfa/ZlOTzVVvq5lQ9PfhQdL2xY0gIIYQQIgzOq9kuQgghhOj5JPgQQgghRFhJ8CGEEEKIsJLgQwghhBBhJcGHEEIIIcJKgg8hhBBChJUEH0IIIYQIKwk+hBBCCBFWEnwIIYQQIqwk+BBCCCFEWEnwIYQQQoiwkuBDCCGEEGH1/wHWuQ8giGfghQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here is the histogram of HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "minUnitUse, maxUnitUse = 0.75, 1.25\n",
    "print(\"let's visualize over-used and underused units, <\",minUnitUse,\"or >\",maxUnitUse)\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minUnitUse:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(\"u\",unitCP[u])\n",
    "    if unitUse[u] > maxUnitUse:\n",
    "        plotPoly(unitGeom[u], 1.5)\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"and here is the histogram of HD pops\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins = [0, 0.6*aDP, 0.7*aDP, 0.85*aDP, 0.9*aDP, 0.95*aDP,\n",
    "         0.98*aDP, aDP, 1.02*aDP, 1.05*aDP, 1.1*aDP, 1.15*aDP, 1.3*aDP, 1.5*aDP, 2.0*aDP])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "9bc31b5a-992d-4a38-b9fe-3470b55e1e2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"opt3ContigButOffPopUnit.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f6150cac-2249-415b-a364-edf55dc441ea",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "114705bb-9640-45f1-9f25-030030efaa63",
   "metadata": {},
   "outputs": [],
   "source": [
    "#below here -- working on tightening use distro while squaring up pop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "5d7d8519-eb3d-4345-9ac6-ab888e61c348",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 1.03177 0.14335\n"
     ]
    }
   ],
   "source": [
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        latestHDpop[t] += unitPop[u]\n",
    "        latestUnitUse[u] += nDistricts * HDweight[t]\n",
    "latestUnitWeights, latestUnitDistro = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "b1971853-bda7-49a4-9f25-1bdfd5e75aa2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 800\n",
      "working on avg unit-to-HDcp dist for HD 1780\n",
      "working on avg unit-to-HDcp dist for HD 2592\n",
      "working on avg unit-to-HDcp dist for HD 3392\n",
      "working on avg unit-to-HDcp dist for HD 4192\n",
      "working on avg unit-to-HDcp dist for HD 4992\n",
      "working on avg unit-to-HDcp dist for HD 5792\n",
      "working on avg unit-to-HDcp dist for HD 6592\n",
      "working on avg unit-to-HDcp dist for HD 7392\n",
      "working on avg unit-to-HDcp dist for HD 8193\n",
      "working on avg unit-to-HDcp dist for HD 8993\n"
     ]
    }
   ],
   "source": [
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "f5b99900-614a-47df-b7de-5d59fffd6d3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARtkOI5s3b1ZmZqbi4+PlcDi0YsWKi/bftGmTHA7HBYfX661vzQAAIIy0tDugoqJCSUlJGjNmjO655546j9u7d69cLlfgcXR0tN23BkJWx6mrL9nn4PMZTVAJAAQf22FkxIgRGjFihO03io6O1jXXXGN7HAAACG9NtmckOTlZcXFxGj58uLZu3XrRvn6/Xz6fr9oBAADCk+2VEbvi4uI0b9489evXT36/X2+88YaGDh2qjz76SLfcckuNYzwej6ZPn97YpaEJ1eU0BQCgeXJYlmXVe7DDoeXLlysrK8vWuCFDhqh9+/b629/+VuPzfr9ffr8/8Njn8ykxMVFlZWXV9p0gdBBGLo09IwDCjc/nk9vtvuT3d6OvjNQkJSVFW7ZsqfV5p9Mpp9PZhBUBAABTjFxnpKSkRHFxcSbeGgAABBnbKyPl5eXat29f4PGBAwdUUlKiqKgotW/fXnl5eTp27JgWLVokSZo9e7Y6deqkm2++Wd99953eeOMNbdy4UevXr2+4TwEAAEKW7TCyfft2DRs2LPA4NzdXkpSTk6P8/HydOHFChw8fDjx/7tw5/f73v9exY8d05ZVXqnfv3vrnP/9Z7TUAAEDzdVkbWJtKXTfAIHixgfXS2MAKINzU9fube9MAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKNami4Aoa/j1NWmSwAAhDBWRgAAgFGEEQAAYBRhBAAAGEUYAQAARtkOI5s3b1ZmZqbi4+PlcDi0YsWKS47ZtGmTbrnlFjmdTnXu3Fn5+fn1KBUAAIQj22GkoqJCSUlJmjNnTp36HzhwQBkZGRo2bJhKSko0ZcoUjRs3TuvWrbNdLAAACD+2f9o7YsQIjRgxos79582bp06dOmnmzJmSpO7du2vLli36y1/+ovT0dLtvDwAAwkyj7xkpKipSWlpatbb09HQVFRU19lsDAIAQ0OgXPfN6vYqJianWFhMTI5/Pp2+//VatW7e+YIzf75ff7w889vl8jV0mAAAwJCh/TePxeOR2uwNHYmKi6ZIAAEAjafQwEhsbq9LS0mptpaWlcrlcNa6KSFJeXp7KysoCx5EjRxq7TAAAYEijn6ZJTU3VmjVrqrVt2LBBqamptY5xOp1yOp2NXRoAAAgCtldGysvLVVJSopKSEkk//HS3pKREhw8flvTDqkZ2dnag/4QJE7R//3499thj+uyzz/Taa6/pnXfe0cMPP9wwnwAAAIQ022Fk+/bt6tOnj/r06SNJys3NVZ8+ffT0009Lkk6cOBEIJpLUqVMnrV69Whs2bFBSUpJmzpypN954g5/1AgAASZLDsizLdBGX4vP55Ha7VVZWJpfLZboc/B8dp642XUJYOPh8hukSAKBB1fX7Oyh/TQMAAJoPwggAADCq0X9Ng9DGKRgAQGNjZQQAABhFGAEAAEYRRgAAgFGEEQAAYBQbWIEgUZfNwlyLBEA4YmUEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEa1NF0AzOk4dbXpEgAAYGUEAACYRRgBAABGEUYAAIBRhBEAAGAUG1iBEFKXTccHn89ogkoAoOGwMgIAAIwijAAAAKMIIwAAwKh6hZE5c+aoY8eOioyM1IABA/Txxx/X2jc/P18Oh6PaERkZWe+CAQBAeLEdRpYuXarc3FxNmzZNO3bsUFJSktLT03Xy5Mlax7hcLp04cSJwHDp06LKKBgAA4cN2GJk1a5bGjx+v0aNHq0ePHpo3b56uvPJKLViwoNYxDodDsbGxgSMmJuayigYAAOHDVhg5d+6ciouLlZaW9tMLREQoLS1NRUVFtY4rLy9Xhw4dlJiYqLvvvlt79uy56Pv4/X75fL5qBwAACE+2wsjp06dVWVl5wcpGTEyMvF5vjWO6deumBQsWaOXKlXrrrbdUVVWlQYMG6ejRo7W+j8fjkdvtDhyJiYl2ygQAACGk0X9Nk5qaquzsbCUnJ2vIkCF67733dP311+v111+vdUxeXp7KysoCx5EjRxq7TAAAYIitK7C2bdtWLVq0UGlpabX20tJSxcbG1uk1rrjiCvXp00f79u2rtY/T6ZTT6bRTGgAACFG2VkZatWqlvn37qrCwMNBWVVWlwsJCpaam1uk1KisrtWvXLsXFxdmrFAAAhCXb96bJzc1VTk6O+vXrp5SUFM2ePVsVFRUaPXq0JCk7O1sJCQnyeDySpGeeeUYDBw5U586ddebMGc2YMUOHDh3SuHHjGvaTAACAkGQ7jIwcOVKnTp3S008/La/Xq+TkZK1duzawqfXw4cOKiPhpweXrr7/W+PHj5fV6de2116pv377atm2bevTo0XCfAkAAN9MDEGoclmVZpou4FJ/PJ7fbrbKyMrlcLtPlhI26fGkhPBFGADSFun5/214ZQWggaAAAQgU3ygMAAEYRRgAAgFGcpgFQb2yWBdAQCCMAasS+IwBNhdM0AADAKMIIAAAwijACAACMYs8I0AyxHwRAMGFlBAAAGEUYAQAARhFGAACAUYQRAABgFBtYgwxXtAQANDesjAAAAKNYGQlB/CwToaSh/l5ZEQTCFysjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIziOiMAQgJXJwbCFysjAADAKMIIAAAwijACAACMIowAAACj2MAKAP8Hm2WBpsXKCAAAMIqVEQBhI9hWNIKtHiBYsTICAACMYmUEQLNSl9WKpnwdAKyMAAAAwwgjAADAKE7TNCGWdQEAuBArIwAAwChWRgAgyPETYYQ7wggAGMTpW4DTNAAAwDDCCAAAMIowAgAAjGLPSB2weQxAOODfMgQrwkgDYRMaAAD1w2kaAABgFCsjABAGmnJ1tqFO9zTlaSNOUQW3eoWROXPmaMaMGfJ6vUpKStIrr7yilJSUWvsvW7ZMTz31lA4ePKguXbrohRde0F133VXvogEAjYNTzjDBdhhZunSpcnNzNW/ePA0YMECzZ89Wenq69u7dq+jo6Av6b9u2TaNGjZLH49EvfvELFRQUKCsrSzt27FDPnj0b5EMAAMITKxrNg8OyLMvOgAEDBqh///569dVXJUlVVVVKTEzUQw89pKlTp17Qf+TIkaqoqNCqVasCbQMHDlRycrLmzZtXp/f0+Xxyu90qKyuTy+WyU26D4H8KABC8mvKUUEN9HzSXAFXX729bKyPnzp1TcXGx8vLyAm0RERFKS0tTUVFRjWOKioqUm5tbrS09PV0rVqyo9X38fr/8fn/gcVlZmaQfPlRD6zltXYO/JgCg6bR/eFlQvU5d1OX7rC7fT7unpzdEOY3mx895qXUPW2Hk9OnTqqysVExMTLX2mJgYffbZZzWO8Xq9Nfb3er21vo/H49H06dMvaE9MTLRTLgAAQck9O7hep7GdPXtWbre71ueD8tc0eXl51VZTqqqq9NVXX+m6666Tw+EwWFlw8fl8SkxM1JEjR4ycvgo1zJd9zJk9zJd9zJl9oTRnlmXp7Nmzio+Pv2g/W2Gkbdu2atGihUpLS6u1l5aWKjY2tsYxsbGxtvpLktPplNPprNZ2zTXX2Cm1WXG5XEH/BxlMmC/7mDN7mC/7mDP7QmXOLrYi8iNbFz1r1aqV+vbtq8LCwkBbVVWVCgsLlZqaWuOY1NTUav0lacOGDbX2BwAAzYvt0zS5ubnKyclRv379lJKSotmzZ6uiokKjR4+WJGVnZyshIUEej0eSNHnyZA0ZMkQzZ85URkaGlixZou3bt2v+/PkN+0kAAEBIsh1GRo4cqVOnTunpp5+W1+tVcnKy1q5dG9ikevjwYUVE/LTgMmjQIBUUFOjJJ5/U448/ri5dumjFihVcY6QBOJ1OTZs27YJTWqgZ82Ufc2YP82Ufc2ZfOM6Z7euMAAAANCRulAcAAIwijAAAAKMIIwAAwCjCCAAAMIowEuTmzJmjjh07KjIyUgMGDNDHH3980f6zZ89Wt27d1Lp1ayUmJurhhx/Wd99910TVmrV582ZlZmYqPj5eDofjovc/+tGmTZt0yy23yOl0qnPnzsrPz2/0OoOF3fl67733NHz4cF1//fVyuVxKTU3VunXN695O9fkb+9HWrVvVsmVLJScnN1p9wag+c+b3+/XEE0+oQ4cOcjqd6tixoxYsWND4xQaB+szX22+/raSkJF155ZWKi4vTmDFj9OWXXzZ+sQ2IMBLEli5dqtzcXE2bNk07duxQUlKS0tPTdfLkyRr7FxQUaOrUqZo2bZo+/fRTvfnmm1q6dKkef/zxJq7cjIqKCiUlJWnOnDl16n/gwAFlZGRo2LBhKikp0ZQpUzRu3Lhm8wVrd742b96s4cOHa82aNSouLtawYcOUmZmpnTt3NnKlwcPunP3ozJkzys7O1s9+9rNGqix41WfO7rvvPhUWFurNN9/U3r17tXjxYnXr1q0Rqwwedudr69atys7O1tixY7Vnzx4tW7ZMH3/8scaPH9/IlTYwC0ErJSXFmjhxYuBxZWWlFR8fb3k8nhr7T5w40brjjjuqteXm5lqDBw9u1DqDkSRr+fLlF+3z2GOPWTfffHO1tpEjR1rp6emNWFlwqst81aRHjx7W9OnTG76gEGBnzkaOHGk9+eST1rRp06ykpKRGrSuY1WXO3n//fcvtdltffvll0xQVxOoyXzNmzLBuuOGGam0vv/yylZCQ0IiVNTxWRoLUuXPnVFxcrLS0tEBbRESE0tLSVFRUVOOYQYMGqbi4OHAqZ//+/VqzZo3uuuuuJqk51BQVFVWbX0lKT0+vdX5RXVVVlc6ePauoqCjTpQS1hQsXav/+/Zo2bZrpUkLC3//+d/Xr109//vOflZCQoK5du+qRRx7Rt99+a7q0oJSamqojR45ozZo1sixLpaWlevfdd0Pu3/2gvGsvpNOnT6uysjJwZdsfxcTE6LPPPqtxzP3336/Tp0/r1ltvlWVZ+v777zVhwoRmc5rGLq/XW+P8+nw+ffvtt2rdurWhykLDiy++qPLyct13332mSwlaX3zxhaZOnap///vfatmSf27rYv/+/dqyZYsiIyO1fPlynT59Wg8++KC+/PJLLVy40HR5QWfw4MF6++23NXLkSH333Xf6/vvvlZmZaftUommsjISRTZs26U9/+pNee+017dixQ++9955Wr16tZ5991nRpCDMFBQWaPn263nnnHUVHR5suJyhVVlbq/vvv1/Tp09W1a1fT5YSMqqoqORwOvf3220pJSdFdd92lWbNm6a9//SurIzX45JNPNHnyZD399NMqLi7W2rVrdfDgQU2YMMF0abYQ1YNU27Zt1aJFC5WWllZrLy0tVWxsbI1jnnrqKf3mN7/RuHHjJEm9evVSRUWFfve73+mJJ56ods8gSLGxsTXOr8vlYlXkIpYsWaJx48Zp2bJlF5zmwk/Onj2r7du3a+fOnZo0aZKkH75oLctSy5YttX79et1xxx2Gqww+cXFxSkhIqHbb+e7du8uyLB09elRdunQxWF3w8Xg8Gjx4sB599FFJUu/evXXVVVfptttu03PPPae4uDjDFdYN305BqlWrVurbt68KCwsDbVVVVSosLFRqamqNY7755psLAkeLFi0kSRa3ILpAampqtfmVpA0bNtQ6v5AWL16s0aNHa/HixcrIyDBdTlBzuVzatWuXSkpKAseECRPUrVs3lZSUaMCAAaZLDEqDBw/W8ePHVV5eHmj7/PPPFRERoXbt2hmsLDiFy7/7rIwEsdzcXOXk5Khfv35KSUnR7NmzVVFRodGjR0uSsrOzlZCQII/HI0nKzMzUrFmz1KdPHw0YMED79u3TU089pczMzMAfZzgrLy/Xvn37Ao8PHDigkpISRUVFqX379srLy9OxY8e0aNEiSdKECRP06quv6rHHHtOYMWO0ceNGvfPOO1q9erWpj9Ck7M5XQUGBcnJy9NJLL2nAgAHyer2SpNatW1f7X2w4szNnERERF9ydPDo6WpGRkc3qruV2/87uv/9+Pfvssxo9erSmT5+u06dP69FHH9WYMWOaxYql3fnKzMzU+PHjNXfuXKWnp+vEiROaMmWKUlJSFB8fb+pj2Gfypzy4tFdeecVq37691apVKyslJcX68MMPA88NGTLEysnJCTw+f/689Yc//MG68cYbrcjISCsxMdF68MEHra+//rrpCzfgX//6lyXpguPHOcrJybGGDBlywZjk5GSrVatW1g033GAtXLiwyes2xe58DRky5KL9m4P6/I39/5rjT3vrM2effvqplZaWZrVu3dpq166dlZuba33zzTdNX7wB9Zmvl19+2erRo4fVunVrKy4uzvrVr35lHT16tOmLvwwOywqhdRwAABB22DMCAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAw6v8BI7F0pXOgrWUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 1.03177 0.14335\n"
     ]
    }
   ],
   "source": [
    "#Restart - may want to comment out first line\n",
    "HDunitList = [latestHDlist[t].copy() for t in range(nHDs)]\n",
    "unitUse = [0. for u in range(nUnits) ]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs) ]\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, weights = unitPop,bins = 50)\n",
    "plt.show()\n",
    "plt.hist([HDvPop[t] for t in popHDlist], bins=50)\n",
    "plt.show()\n",
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "27b51cd0-8bb6-4b16-bb79-37498e59ce5c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now square up the 291 HDs with pop < 759409 to within 2643\n",
      "working on squaring up HD 1 time is now 0\n",
      "working on squaring up HD 2171 time is now 15\n",
      "working on squaring up HD 4251 time is now 25\n",
      "We have addressed underpop in a total of 291 HDs\n",
      "Here is a scatterplot of original (x) to final pop (y)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING UP UNDERPOPPED\n",
    "HDnAddedUnits, HDaddedPop = [0]*nHDs, [0.]*nHDs\n",
    "underPoppedList = list()\n",
    "minDistrictPop, maxDistrictPop = 0.99 * aDP, 1.01 * aDP\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop < minDistrictPop and t in popHDlist:\n",
    "        underPoppedList.append(t)\n",
    "print(\"We will now square up the\",len(underPoppedList),\"HDs with pop <\",int(minDistrictPop),\"to within\",int(maxGap) )\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "for ii,t in enumerate(underPoppedList):\n",
    "    if ii%100 == 0:\n",
    "        print(\"working on squaring up HD\",t,\"time is now\",int(time.time() - startTime)) \n",
    "    gap = aDP - HDvPop[t]\n",
    "    origGap = gap\n",
    "    nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "    for u in HDunitList[t]:\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap:\n",
    "                nearHDlist.append(uu)   #below line: bias toward close, underused\n",
    "                nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  \n",
    "    currList = HDunitList[t].copy()\n",
    "    addedList = list()\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd: \n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else:\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  #bias toward close, underused\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    HDunitList[t] += addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n",
    "    HDaddedPop[t] = np.sum( [unitPop[u] for u in addedList] )\n",
    "    if HDvPop[t] > maxDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has overshot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after adding\",HDaddedPop[t] )\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original (x) to final pop (y)\")\n",
    "plt.scatter([HDvPop[t] - HDaddedPop[t] for t in underPoppedList], [HDvPop[t] for t in underPoppedList])\n",
    "plt.axhline(y=aDP, xmin = 0.9*aDP, xmax = 1.1*aDP, ls=\"--\")\n",
    "plt.axvline(x=aDP, ymin = 0.9*aDP, ymax = 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "bc01409d-d9e4-43a6-9fae-c76aa7bdc855",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous unit avg and sd usage are 1.03177 0.14335\n",
      "amped unit avg and sd usage are 1.03351 0.14293\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prevUnitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        prevUnitUse[u] += HDweight[t] * nDistricts\n",
    "\n",
    "ampedUnitUse = [0. for u in range(nUnits)]\n",
    "ampedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "ampedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in ampedHDlist[t]:\n",
    "        ampedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "plt.hist(prevUnitUse,bins=50,weights=unitPop,label=\"previous\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.legend()\n",
    "ampedUnitUseAvg, ampedUnitUseSD = getWeightedAvgAndSD(ampedUnitUse,unitPop)\n",
    "print(\"previous unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "ee512b2b-4daa-4a6b-9452-e8dfdfdebc88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the current barredJettisonSet (usually CCB's) is {8018, 8019}\n"
     ]
    }
   ],
   "source": [
    "#CHECK ON BARRED JETTISON SET BEFORE RUNNING BELOW\n",
    "print(\"the current barredJettisonSet (usually CCB's) is\",barredJettisonSet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "dd7d9818-344c-4150-917b-57a4ee051c92",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\n",
      "Let's now square down the 8031 overPopped HDs to within 2643\n",
      "working on squaring down HD 0 time is now 0\n",
      "working on squaring down HD 71 time is now 3\n",
      "working on squaring down HD 145 time is now 9\n",
      "working on squaring down HD 214 time is now 13\n",
      "working on squaring down HD 285 time is now 20\n",
      "working on squaring down HD 349 time is now 39\n",
      "working on squaring down HD 413 time is now 44\n",
      "working on squaring down HD 473 time is now 49\n",
      "working on squaring down HD 547 time is now 55\n",
      "working on squaring down HD 610 time is now 62\n",
      "working on squaring down HD 674 time is now 69\n",
      "working on squaring down HD 746 time is now 74\n",
      "working on squaring down HD 811 time is now 78\n",
      "working on squaring down HD 876 time is now 84\n",
      "working on squaring down HD 950 time is now 87\n",
      "working on squaring down HD 1027 time is now 90\n",
      "working on squaring down HD 1094 time is now 94\n",
      "working on squaring down HD 1171 time is now 117\n",
      "working on squaring down HD 1236 time is now 119\n",
      "working on squaring down HD 1304 time is now 123\n",
      "working on squaring down HD 1388 time is now 129\n",
      "working on squaring down HD 1452 time is now 137\n",
      "working on squaring down HD 1513 time is now 142\n",
      "working on squaring down HD 1768 time is now 147\n",
      "working on squaring down HD 1842 time is now 154\n",
      "working on squaring down HD 1908 time is now 160\n",
      "working on squaring down HD 1976 time is now 171\n",
      "working on squaring down HD 2036 time is now 176\n",
      "working on squaring down HD 2114 time is now 187\n",
      "working on squaring down HD 2189 time is now 192\n",
      "working on squaring down HD 2250 time is now 198\n",
      "working on squaring down HD 2346 time is now 205\n",
      "working on squaring down HD 2407 time is now 208\n",
      "working on squaring down HD 2470 time is now 213\n",
      "working on squaring down HD 2536 time is now 219\n",
      "working on squaring down HD 2607 time is now 223\n",
      "working on squaring down HD 2671 time is now 225\n",
      "working on squaring down HD 2736 time is now 227\n",
      "working on squaring down HD 2796 time is now 230\n",
      "working on squaring down HD 2869 time is now 239\n",
      "working on squaring down HD 2949 time is now 240\n",
      "working on squaring down HD 3010 time is now 245\n",
      "working on squaring down HD 3070 time is now 249\n",
      "working on squaring down HD 3134 time is now 252\n",
      "working on squaring down HD 3205 time is now 257\n",
      "working on squaring down HD 3286 time is now 262\n",
      "working on squaring down HD 3346 time is now 266\n",
      "working on squaring down HD 3408 time is now 268\n",
      "working on squaring down HD 3468 time is now 270\n",
      "working on squaring down HD 3528 time is now 272\n",
      "working on squaring down HD 3588 time is now 275\n",
      "working on squaring down HD 3648 time is now 277\n",
      "working on squaring down HD 3716 time is now 279\n",
      "working on squaring down HD 3785 time is now 282\n",
      "working on squaring down HD 3852 time is now 285\n",
      "working on squaring down HD 3924 time is now 289\n",
      "working on squaring down HD 4011 time is now 293\n",
      "working on squaring down HD 4087 time is now 295\n",
      "working on squaring down HD 4172 time is now 297\n",
      "working on squaring down HD 4247 time is now 299\n",
      "working on squaring down HD 4308 time is now 301\n",
      "working on squaring down HD 4395 time is now 305\n",
      "working on squaring down HD 4469 time is now 307\n",
      "working on squaring down HD 4540 time is now 309\n",
      "working on squaring down HD 4633 time is now 311\n",
      "working on squaring down HD 4721 time is now 314\n",
      "working on squaring down HD 4781 time is now 317\n",
      "working on squaring down HD 4841 time is now 319\n",
      "working on squaring down HD 4901 time is now 321\n",
      "working on squaring down HD 4961 time is now 323\n",
      "working on squaring down HD 5021 time is now 326\n",
      "working on squaring down HD 5081 time is now 328\n",
      "working on squaring down HD 5141 time is now 330\n",
      "working on squaring down HD 5201 time is now 332\n",
      "working on squaring down HD 5261 time is now 334\n",
      "working on squaring down HD 5321 time is now 337\n",
      "working on squaring down HD 5381 time is now 339\n",
      "working on squaring down HD 5441 time is now 340\n",
      "working on squaring down HD 5501 time is now 342\n",
      "working on squaring down HD 5565 time is now 345\n",
      "working on squaring down HD 5626 time is now 349\n",
      "working on squaring down HD 5687 time is now 353\n",
      "working on squaring down HD 5747 time is now 356\n",
      "working on squaring down HD 5807 time is now 358\n",
      "working on squaring down HD 5867 time is now 361\n",
      "working on squaring down HD 5927 time is now 363\n",
      "working on squaring down HD 5987 time is now 366\n",
      "working on squaring down HD 6047 time is now 368\n",
      "working on squaring down HD 6107 time is now 370\n",
      "working on squaring down HD 6167 time is now 372\n",
      "working on squaring down HD 6227 time is now 374\n",
      "working on squaring down HD 6287 time is now 377\n",
      "working on squaring down HD 6347 time is now 379\n",
      "working on squaring down HD 6422 time is now 381\n",
      "working on squaring down HD 6482 time is now 382\n",
      "working on squaring down HD 6542 time is now 384\n",
      "working on squaring down HD 6602 time is now 385\n",
      "working on squaring down HD 6662 time is now 386\n",
      "working on squaring down HD 6722 time is now 387\n",
      "working on squaring down HD 6782 time is now 389\n",
      "working on squaring down HD 6842 time is now 390\n",
      "working on squaring down HD 6902 time is now 392\n",
      "working on squaring down HD 6962 time is now 393\n",
      "working on squaring down HD 7022 time is now 395\n",
      "working on squaring down HD 7082 time is now 396\n",
      "working on squaring down HD 7142 time is now 398\n",
      "working on squaring down HD 7202 time is now 399\n",
      "working on squaring down HD 7262 time is now 401\n",
      "working on squaring down HD 7322 time is now 403\n",
      "working on squaring down HD 7382 time is now 404\n",
      "working on squaring down HD 7443 time is now 407\n",
      "working on squaring down HD 7503 time is now 409\n",
      "working on squaring down HD 7563 time is now 413\n",
      "working on squaring down HD 7624 time is now 416\n",
      "working on squaring down HD 7686 time is now 420\n",
      "working on squaring down HD 7746 time is now 422\n",
      "working on squaring down HD 7807 time is now 425\n",
      "working on squaring down HD 7867 time is now 428\n",
      "working on squaring down HD 7927 time is now 431\n",
      "working on squaring down HD 7987 time is now 435\n",
      "working on squaring down HD 8048 time is now 440\n",
      "working on squaring down HD 8108 time is now 443\n",
      "working on squaring down HD 8173 time is now 445\n",
      "working on squaring down HD 8233 time is now 453\n",
      "working on squaring down HD 8294 time is now 455\n",
      "working on squaring down HD 8358 time is now 475\n",
      "working on squaring down HD 8419 time is now 503\n",
      "working on squaring down HD 8479 time is now 507\n",
      "working on squaring down HD 8549 time is now 510\n",
      "working on squaring down HD 8620 time is now 513\n",
      "working on squaring down HD 8718 time is now 527\n",
      "working on squaring down HD 8778 time is now 530\n",
      "working on squaring down HD 8840 time is now 533\n",
      "working on squaring down HD 8948 time is now 553\n",
      "We have addressed overpop in a total of 8031 HDs\n",
      "Here is a scatterplot of original to final pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING DOWN\n",
    "print(\"Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\")\n",
    "#HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]\n",
    "#HDvPop =     [ampedHDpop[t]         for t in range(nHDs)]\n",
    "#unitUse =    [ampedUnitUse[u]       for u in range(nUnits)] #saving in case I need to re-run\n",
    "HDnShedUnits = [0]*nHDs\n",
    "overPoppedList = list()\n",
    "startTime = time.time()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "\n",
    "maxGap = 0.9 * np.median(unitPop)   \n",
    "print(\"Let's now square down the\",len(overPoppedList),\"overPopped HDs to within\", int(maxGap))   \n",
    "for ii,t in enumerate(overPoppedList):\n",
    "    if ii%60 == 0:\n",
    "        print(\"working on squaring down HD\",t,\"time is now\",int(time.time()-startTime))\n",
    "    unbroken, noEnclave, sPL, ePL = enclaveCheck(HDunitList[t],unitNbrs)\n",
    "    if not (unbroken and noEnclave):\n",
    "        print(\"SKIPPING shedding attempt on overpopped HD\",t,\"with pop\",HDvPop[t],\"because it was not legal to start\")\n",
    "    else:\n",
    "        #avgDist = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        excess = HDvPop[t] - aDP\n",
    "        origExcess = excess\n",
    "        HDboundaryList, HDboundaryScore = list(), list()  #these will be dynamic lists of the overused border units to jettison\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "        barredSet = barredJettisonSet  #new 4/10/24 for MN, ban CCB jettisoning from ALL HD's, not just near ones\n",
    "        #barredSet = set(get2nbrs([starterU],unitNbrs)).union(barredJettisonSet)  #weaker specification - must be close to be barred\n",
    "\n",
    "        for u in set(HDunitList[t]).difference(barredSet):\n",
    "            isBoundary = False\n",
    "            for uu in unitNbrs[u]:\n",
    "                if uu not in HDunitList[t]:\n",
    "                    isBoundary = True\n",
    "                    break\n",
    "            if isBoundary and HDvPop[t] - unitPop[u] > aDP - maxGap:  #shedding this unit won't send us too far under targetpop\n",
    "                HDboundaryList.append(u)\n",
    "                HDboundaryScore.append((1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t])  #low-score = bias toward far, overused\n",
    "        currList = HDunitList[t].copy()\n",
    "        shedList, stillGoing = list(), True\n",
    "        while excess > maxGap and len(HDboundaryList) > 0 and stillGoing:   #shed the highest-scoring neighboring overused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(HDboundaryScore), 0, True\n",
    "            while i < len(HDboundaryScore) and notYetPicked and stillGoing:        \n",
    "                listNo = idx[i]   #low (large negative) score is preferred to shed\n",
    "                unitNoToShed = HDboundaryList[listNo]  # attempt to shed this unit ...\n",
    "                tryList = list(set(currList).difference( {unitNoToShed} ) )\n",
    "                unbroken, noEnclave, sPL, ePL = enclaveCheck(tryList,unitNbrs) \n",
    "                if unbroken and noEnclave:             #... if that won't eff up contiguity\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't drop any more units without creating an enclave\n",
    "                print(\"can't drop any more units to HD\",t,\"without creating an enclave\")\n",
    "            else: #add this eligible unit\n",
    "                shedList.append(unitNoToShed)\n",
    "                excess -= unitPop[unitNoToShed]        \n",
    "                del currList[currList.index(unitNoToShed) ]\n",
    "                del HDboundaryList[listNo]\n",
    "                del HDboundaryScore[listNo]\n",
    "                for u in unitNbrs[unitNoToShed]:      # ... and ID any neighboring units that will now be on boundary after we shed this unit\n",
    "                    if u in currList and u not in HDboundaryList and (unitPop[u] <= excess + maxGap and\n",
    "                                                                      u not in barredSet): \n",
    "                        HDboundaryList.append(u)\n",
    "                        HDboundaryScore.append( (1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t] )  #low-score, bias toward far & overused       \n",
    "                for uu in HDboundaryList.copy():\n",
    "                    if unitPop[uu] > excess + maxGap:  #checking to see if the latest pop change DQ's any large units on current boundary\n",
    "                        del HDboundaryScore[HDboundaryList.index(uu)]\n",
    "                        del HDboundaryList[HDboundaryList.index(uu)]   \n",
    "        for u in shedList:\n",
    "            unitUse[u] -= HDweight[t] * nDistricts\n",
    "        HDunitList[t], HDvPop[t] = currList.copy(), np.sum( [unitPop[u] for u in currList ] )    \n",
    "        if HDvPop[t] < minDistrictPop:\n",
    "            print(\"Oops! HD\",t,\"now has undershot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after shedding\",\n",
    "                 np.sum([unitPop[u] for u in shedList]) )\n",
    "\n",
    "        HDnShedUnits[t] = -1 * len(shedList)\n",
    "\n",
    "print(\"We have addressed overpop in a total of\",len(overPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original to final pop\")\n",
    "plt.scatter([ampedHDpop[t] for t in overPoppedList], [HDvPop[t] for t in overPoppedList])\n",
    "plt.axhline(aDP, 0.9*aDP, 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5c4c929d-0208-4785-aa15-5681a493a530",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "9a19b23e-43cc-4609-9ee7-6d1057a7a9e1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are the stats prior to any equi-pop patching\n",
      "amped unit avg and sd usage are 1.03351 0.14293\n",
      "shed unit avg and sd usage are 1.00077 0.10689\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here are the final populations\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 9007\n",
      "working on HD 600 out of 9007\n",
      "working on HD 1201 out of 9007\n",
      "working on HD 1980 out of 9007\n",
      "working on HD 2592 out of 9007\n",
      "working on HD 3192 out of 9007\n",
      "working on HD 3792 out of 9007\n",
      "working on HD 4392 out of 9007\n",
      "working on HD 4992 out of 9007\n",
      "working on HD 5592 out of 9007\n",
      "working on HD 6192 out of 9007\n",
      "working on HD 6792 out of 9007\n",
      "working on HD 7392 out of 9007\n",
      "working on HD 7992 out of 9007\n",
      "working on HD 8593 out of 9007\n",
      "all done checking HD and complement contiguity for all 9007 HDs\n",
      "underpop contigFail, enclaveFail = 0 0 out of 291\n",
      "overpop contigFail, enclaveFail = 0 0 out of 8031\n",
      "total contigFail, enclaveFail =  0 0\n",
      "CCB unit 8018 with pop 174608.0 now has use 0.96392\n",
      "CCB unit 8019 with pop 232129.0 now has use 0.93869\n"
     ]
    }
   ],
   "source": [
    "print(\"Here are the stats prior to any equi-pop patching\")\n",
    "shedUnitUse = [0. for u in range(nUnits)]\n",
    "shedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "shedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in shedHDlist[t]:\n",
    "        shedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "#plt.hist(latestUnitUse,bins=50,weights=unitPop,label=\"pre-squaring\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.hist(shedUnitUse, bins=50, weights=unitPop,label=\"shed\",histtype=\"step\")\n",
    "plt.legend()\n",
    "#latestAvg, latestSD = getWeightedAvgAndSD(latestUnitUse,unitPop)\n",
    "shedUnitUseAvg, shedUnitUseSD = getWeightedAvgAndSD(shedUnitUse,unitPop)\n",
    "#print(\"orig unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "print(\"shed unit avg and sd usage are\", r5(shedUnitUseAvg),  r5(shedUnitUseSD) )\n",
    "plt.show()\n",
    "# note: when I ran this early Jan, went from 0.12662 to 0.09961 to 0.09432 SD orig-amped-shed, but contig not yet done\n",
    "print(\"and here are the final populations\")\n",
    "plt.hist([shedHDpop[t] for t in popHDlist],bins=20)\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "failEnclaveSet, failContigSet = set(), set()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%600 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs,5)\n",
    "    if not noEnclave:\n",
    "        noEnclave, eList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if not unbroken or not noEnclave:\n",
    "        #print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        pass\n",
    "    if not unbroken:\n",
    "        failContigSet.add(t)\n",
    "    if not noEnclave:\n",
    "        failEnclaveSet.add(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")\n",
    "failContigUnderpopped, failEnclaveUnderpopped = set(underPoppedList).intersection(failContigSet), set(underPoppedList).intersection(failEnclaveSet)\n",
    "failContigOverpopped, failEnclaveOverpopped = set(overPoppedList).intersection(failContigSet), set(overPoppedList).intersection(failEnclaveSet)\n",
    "print(\"underpop contigFail, enclaveFail =\",len(failContigUnderpopped), len(failEnclaveUnderpopped),\"out of\",len(underPoppedList))\n",
    "print(\"overpop contigFail, enclaveFail =\",len(failContigOverpopped), len(failEnclaveOverpopped),\"out of\",len(overPoppedList))\n",
    "print(\"total contigFail, enclaveFail = \",len(failContigSet), len(failEnclaveSet) )\n",
    "for u in range(nUnits):\n",
    "    if abs( allUnits[u]%1 - 0.25) < 0.01:\n",
    "        print(\"CCB unit\",u,\"with pop\",unitPop[u],\"now has use\",r5(unitUse[u]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "ff3288f1-f9ca-473c-886c-ee8d6c2637bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9007 8020\n"
     ]
    }
   ],
   "source": [
    "print(nHDs, nUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ed668f8-bf1e-46eb-963f-cf5e2b935b11",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see MD code if we need to remove a stuck CCB's from any HDs and then redo the square-up after dropping them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "e7bfa674-8fc8-42c8-86e9-76d334d3c47c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"opt3ContigGoodPop.csv\" #\"contigUnpatchedB.csv\" unpatchedContigGoodPop.csv\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 430,
   "id": "c0c3a3d8-cf79-40ad-aa2e-b6793266f1d4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prior to patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    }
   ],
   "source": [
    "#SKIP THIS FOR STATES WITH FRAGMENTED VTD'S ###########\n",
    "print(\"prior to patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        for i,uu in enumerate(surrounders):\n",
    "            if u == uu:\n",
    "                unitVTDlist[u].append(surroundedVTDs[i])\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        vtdList[t] += unitVTDlist[u]\n",
    "    #add more stuff here to convert to vtd lists\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"needsEnclaveRemoval.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "7a36c0ba-5a68-445b-a223-b7fa55dfd728",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are 9007 HD centers\n"
     ]
    }
   ],
   "source": [
    "nHDs = len(vtdGeom)\n",
    "print(\"there are\",nHDs,\"HD centers\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "1b794580-5a58-4238-b310-7c87872ed679",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\n",
      "Must have already established unitGeoms, pops, topology -- or read in via next block\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./2024state_HD_output/TX9007opt3ContigGoodPop.csv ./2024state_HD_output/TX9007opt3ContigGoodPop.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sum of HDweight should be unity, actually is 0.9999999999997943\n",
      "I will now renormalize\n",
      "normalized weight is now 1.0000000000000002\n",
      "I read in 9007 HD lists of units\n",
      "orig unit avg and sd usage are 1.00077 0.10689\n"
     ]
    },
    {
     "data": {
      "image/png": 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SXLYbMWKENmzYoDfeeEO/+93vZLfbNWnSJH355Zcu98nLy1NkZKTzlZSU1NUyAQBAH9flMLJw4UIdOXJERUVF7bZLT0/XnDlzlJqaqoyMDL3++uu64oor9Pzzz7vcJzc3V7W1tc7XqVOnulomAADo49waM3LRokWLtH37du3fv1+DBg1ya9/g4GClpaWpvLzcZRuLxSKLxdKV0gAAgJdxq2fE4XBo0aJF2rp1q/bs2aOhQ4e6fcCWlhYdPnxY8fHxbu8LAAB8j1s9IwsXLlRhYaHeeOMNDRgwQJWVlZKkyMhIWa1WSdKcOXOUmJiovLw8SdIvf/lLXXfddUpOTlZNTY2efPJJnThxQvPnz+/hjwIAALyRW2HkueeekyRNmTKl1fqNGzfqn//5nyVJJ0+eVGDgXzpcqqurdc8996iyslLR0dEaN26cDhw4oFGjRnWvcgAA4BPcCiMOh6PDNnv37m21vGbNGq1Zs8atogAAgP/g2TQAAMAowggAADCKMAIAAIwijAAAAKO6NOkZgL+oqGlQta3J5fbyM/UerAYAvA9hBOiGipoGZa7ep4bmlnbbWYODFB0W4qGqAMC7EEaAbqi2NamhuUX5s1OVHBPusl10WIgSo6werAwAvAdhBOgByTHhSkmMNF0GAHglBrACAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwqp/pAoC+rKKmQdW2Jpfby8/Ue7CazuuoruiwECVGWT1UDQC0jzACuFBR06DM1fvU0NzSbjtrcJCiw0I8VFX7osNCZA0OUvbmsnbbWYODtHtxBoEEQJ9AGAFcqLY1qaG5RfmzU5UcE+6yXV/qZUiMsmr34owOe3OyN5ep2tbUZ+oG4N8II0AHkmPClZIYabqMTkuMshIyAHgVBrACAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwyq0wkpeXp2uvvVYDBgxQTEyMZs2apaNHj3a435YtW/Q3f/M3Cg0N1TXXXKO33nqrywUDAADf4lYY2bdvnxYuXKj33ntPu3btUnNzs26++WbZbDaX+xw4cEB33HGHfvKTn+jQoUOaNWuWZs2apSNHjnS7eAAA4P3cemrvjh07Wi0XFBQoJiZGpaWl+uEPf9jmPk8//bRuueUWPfDAA5KkFStWaNeuXXr22We1bt26LpYNAAB8RbfGjNTW1kqSBg4c6LJNSUmJMjMzW63LyspSSUmJy30aGxtVV1fX6gUAAHxTl8OI3W5Xdna2Jk+erJSUFJftKisrFRsb22pdbGysKisrXe6Tl5enyMhI5yspKamrZQIAgD6uy2Fk4cKFOnLkiIqKinqyHklSbm6uamtrna9Tp071+DEAAEDf4NaYkYsWLVqk7du3a//+/Ro0aFC7bePi4lRVVdVqXVVVleLi4lzuY7FYZLFYulIaAADwMm71jDgcDi1atEhbt27Vnj17NHTo0A73SU9PV3Fxcat1u3btUnp6unuVAgAAn+RWz8jChQtVWFioN954QwMGDHCO+4iMjJTVapUkzZkzR4mJicrLy5Mk3X///crIyNDq1as1Y8YMFRUV6eDBg1q/fn0PfxQAAOCN3OoZee6551RbW6spU6YoPj7e+dq8ebOzzcmTJ3X69Gnn8qRJk1RYWKj169drzJgx+o//+A9t27at3UGvAADAf7jVM+JwODpss3fv3kvW3XbbbbrtttvcORQAAPATPJsGAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGOV2GNm/f79mzpyphIQEBQQEaNu2be2237t3rwICAi55VVZWdrVmAADgQ9wOIzabTWPGjNHatWvd2u/o0aM6ffq08xUTE+PuoQEAgA/q5+4O06ZN07Rp09w+UExMjKKiotzeDwAA+Da3w0hXpaamqrGxUSkpKXrsscc0efJkl20bGxvV2NjoXK6rq/NEiYBfKT9T3+726LAQJUZZPVQNAH/W62EkPj5e69at0/jx49XY2KgXX3xRU6ZM0fvvv6+xY8e2uU9eXp6WL1/e26UBfik6LETW4CBlby5rt501OEi7F2cQSAD0ul4PIyNGjNCIESOcy5MmTdLnn3+uNWvW6JVXXmlzn9zcXOXk5DiX6+rqlJSU1NulAn4hMcqq3YszVG1rctmm/Ey9sjeXqdrWRBgB0Os8dpnmr02YMEHvvPOOy+0Wi0UWi8WDFQH+JTHKSsgA0GcYmWekrKxM8fHxJg4NAAD6GLd7Rurr61VeXu5cPn78uMrKyjRw4EBdeeWVys3NVUVFhTZt2iRJys/P19ChQ3X11VfrwoULevHFF7Vnzx7t3Lmz5z4FAADwWm6HkYMHD2rq1KnO5YtjO+bOnauCggKdPn1aJ0+edG5vamrS4sWLVVFRof79+2v06NHavXt3q/cAAAD+y+0wMmXKFDkcDpfbCwoKWi0vWbJES5YscbswAADgH3g2DQAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADDKyFN7gb6goqZB1bYml9vLz9R7sBoA8F+EEfilipoGZa7ep4bmlnbbWYODFB0W4qGqAMA/EUbgl6ptTWpoblH+7FQlx4S7bBcdFqLEKKsHKwMA/0MYgV9LjglXSmKk6TIAwK8xgBUAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUcwzAp/EVO8A4D0II/A5TPUOAN6FMAKfw1TvAOBdCCPwWUz1DgDegQGsAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMMrtMLJ//37NnDlTCQkJCggI0LZt2zrcZ+/evRo7dqwsFouSk5NVUFDQhVIBAIAvcjuM2Gw2jRkzRmvXru1U++PHj2vGjBmaOnWqysrKlJ2drfnz5+vtt992u1gAAOB7+rm7w7Rp0zRt2rROt1+3bp2GDh2q1atXS5JGjhypd955R2vWrFFWVpa7hwfgQeVn6tvdHh0WosQoq4eqAeCr3A4j7iopKVFmZmardVlZWcrOzna5T2NjoxobG53LdXV1vVUegDZEh4XIGhyk7M1l7bazBgdp9+IMAgmAbun1MFJZWanY2NhW62JjY1VXV6eGhgZZrZf+EsvLy9Py5ct7uzQALiRGWbV7cYaqbU0u25SfqVf25jJV25oIIwC6pdfDSFfk5uYqJyfHuVxXV6ekpCSDFQH+JzHKSsgA4BG9Hkbi4uJUVVXVal1VVZUiIiLa7BWRJIvFIovF0tulAQCAPqDX5xlJT09XcXFxq3W7du1Senp6bx8aAAB4AbfDSH19vcrKylRWVibp+1t3y8rKdPLkSUnfX2KZM2eOs/2CBQt07NgxLVmyRJ988ol++9vf6rXXXtPPfvaznvkEAADAq7kdRg4ePKi0tDSlpaVJknJycpSWlqalS5dKkk6fPu0MJpI0dOhQvfnmm9q1a5fGjBmj1atX68UXX+S2XgAAIKkLY0amTJkih8Phcntbs6tOmTJFhw4dcvdQAADAD/BsGgAAYFSfvLUXcKWipqHduS+kjmcNBQD0LYQReI2KmgZlrt6nhuaWDttag4MUHRbigaoAAN1FGIHXqLY1qaG5RfmzU5UcE95uW56ZAgDegzACr5McE66UxEjTZQAAeggDWAEAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGEUYAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGBUP9MFABdV1DSo2tbkcnv5mXoPVgMA8BTCCPqEipoGZa7ep4bmlnbbWYODFB0W4qGqAACeQBhBn1Bta1JDc4vyZ6cqOSbcZbvosBAlRlk9WBkAoLcRRtCnJMeEKyUx0nQZAAAPYgArAAAwijACAACMIowAAACjGDMCoFs6uuWaQccAOkIYgUcwh4jviQ4LkTU4SNmby9ptZw0O0u7FGQQSAC4RRtDrmEPENyVGWbV7cUaHITN7c5mqbU2EEQAuEUbQ65hDxHclRlk5ZwC6jTACj2EOEQBAW7ibBgAAGEUYAQAARnGZBkCv4/ZfAO0hjADoNdz+C6AzCCMAeg23/wLoDMIIgF7F7b8AOsIAVgAAYFSXwsjatWs1ZMgQhYaGauLEifrggw9cti0oKFBAQECrV2hoaJcLBgAAvsXtMLJ582bl5ORo2bJl+vDDDzVmzBhlZWXpzJkzLveJiIjQ6dOnna8TJ050q2gAAOA73A4jTz31lO655x7NmzdPo0aN0rp169S/f39t2LDB5T4BAQGKi4tzvmJjY7tVNAAA8B1uDWBtampSaWmpcnNznesCAwOVmZmpkpISl/vV19dr8ODBstvtGjt2rJ544gldffXVLts3NjaqsbHRuVxXV+dOmQC8EHORAP7LrTBy9uxZtbS0XNKzERsbq08++aTNfUaMGKENGzZo9OjRqq2t1apVqzRp0iR99NFHGjRoUJv75OXlafny5e6UBsBLMRcJgF6/tTc9PV3p6enO5UmTJmnkyJF6/vnntWLFijb3yc3NVU5OjnO5rq5OSUlJvV0qAAOYiwSAW2Hk8ssvV1BQkKqqqlqtr6qqUlxcXKfeIzg4WGlpaSovL3fZxmKxyGKxuFMaAC/GXCSAf3NrAGtISIjGjRun4uJi5zq73a7i4uJWvR/taWlp0eHDhxUfH+9epQAAwCe5fZkmJydHc+fO1fjx4zVhwgTl5+fLZrNp3rx5kqQ5c+YoMTFReXl5kqRf/vKXuu6665ScnKyamho9+eSTOnHihObPn9+znwQAAHglt8PI7Nmz9fXXX2vp0qWqrKxUamqqduzY4RzUevLkSQUG/qXDpbq6Wvfcc48qKysVHR2tcePG6cCBAxo1alTPfQoAfoE7bgDfFOBwOBymi+hIXV2dIiMjVVtbq4iICNPlwE1HKmp16zPvaPt91yslMdJ0OfBCFTUNyly9Tw3NLe22444boG/p7Pc3D8pDt1XUNHR4JwTQHdxxA/g2wgi6xZ2/WKPDQjxUFXwRd9wAvoswgm6ptjWpoblF+bNTlRwT7rId1/IBAK4QRtAjkmPCGQ8CAOgStx+UBwAA0JMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAopoMH4FM6ekp0Z56T1NGTqDuLZzIBnUMYAeATosNCZA0OUvbmsnbbWYODtHtxhsuQ0NknUXdGR8cC8D3CCNrV0V+IHf0VCnhKYpRVuxdndPj/a/bmMlXbmlwGhM4+ibojnTkWgO8RRuBSZ/9CtAYHKTosxENVAa4lRlk79cXfXoi+uI0nUQOeQxiBS539C5Hr4vAW7lzKIWADnkMYQYf4CxG+ojOXciQCNuBphBEAfqWzl3IAeA7zjAAAAKPoGfFj3CkDAOgLCCM+qqOg8Y2tSQteKeVOGQCAcYQRH+TOLbkv3z1Bl7UTNhjIBwDobYQRH8QtuQAAb0IY8WHckgsA8AbcTQMAAIwijAAAAKO4TAMAvaijW+QZuwUQRgCgV7jzHJx1d43jrjb4NcIIAPSCzjwH5+J8P3M3fNDue1mDg7R7cQaBBD6LMAIAvaQzz8HpKLCUn6lX9uYyVduaCCPwWYQRADCosw/uY+wJfBlhBAD6MHfGnnApB96KMOKFeMAd4D86M/bk4qWcPx3/VtXMugwvRBjxMu48d4YH3AG+oaNLOfSewNsRRrwMz50B8H+503vCQFj0RYQRL8VzZwD8tc4OhAX6IqaDBwAARtEzAgBw6miAvMRlYPQ8wkgfw50yAHpTe79DLs4I25kB8gyERU8ijHhQR0HDnV8E3CkDwB3u3HHz8t0TXD4rh4Gw6A2EkR7Sk0GjvV8EEl2kANzXmTtuJH6/wAzCSA9wZ+4PggYAU3ryjhtPXTLmd6J/6FIYWbt2rZ588klVVlZqzJgxeuaZZzRhwgSX7bds2aJHH31UX3zxhYYNG6aVK1dq+vTpXS66r2HuDwD+orOXe3pKZ8anMOjW+7kdRjZv3qycnBytW7dOEydOVH5+vrKysnT06FHFxMRc0v7AgQO64447lJeXp1tvvVWFhYWaNWuWPvzwQ6WkpPTIh+grmPsDgK/r7OWentCZae49PeiW4NM7AhwOh8OdHSZOnKhrr71Wzz77rCTJbrcrKSlJ9913nx588MFL2s+ePVs2m03bt293rrvuuuuUmpqqdevWdeqYdXV1ioyMVG1trSIiItwpt0Od+R+rIxd/YLbfdz1hBAB6iDuXwNfdNa7DQbcd9V53pC8Gn84wGY46+/3tVs9IU1OTSktLlZub61wXGBiozMxMlZSUtLlPSUmJcnJyWq3LysrStm3bXB6nsbFRjY2NzuXa2lpJ33+onvRVTYP+v2ff0YVme7ffKzQ4UP1aLqiuLqAHKgMADAiUtt6Tpprz7X8hR/UPUUKUxeX2fi39FGK/oH/ddKDbNYUGB+q3P07TwP7BbW4/9rVND75+WPsOn9APrgjr8nG+Pd+s7KJDPfb9lN9OzZJ0RbhFV0SEdvtY/9fF7+2O+j3cCiNnz55VS0uLYmNjW62PjY3VJ5980uY+lZWVbbavrKx0eZy8vDwtX778kvVJSUnulOtxI580XQEAoLfN6MTv+v8/v9fLcEtnau5N586dU2Sk6ysHffJumtzc3Fa9KXa7Xd9++60uu+wyBQTQ89Db6urqlJSUpFOnTvX4ZTF0DufAPM5B38B5MK8758DhcOjcuXNKSEhot51bYeTyyy9XUFCQqqqqWq2vqqpSXFxcm/vExcW51V6SLBaLLJbWXW5RUVHulIoeEBERwQ+/YZwD8zgHfQPnwbyunoP2ekQucutBeSEhIRo3bpyKi4ud6+x2u4qLi5Went7mPunp6a3aS9KuXbtctgcAAP7F7cs0OTk5mjt3rsaPH68JEyYoPz9fNptN8+bNkyTNmTNHiYmJysvLkyTdf//9ysjI0OrVqzVjxgwVFRXp4MGDWr9+fc9+EgAA4JXcDiOzZ8/W119/raVLl6qyslKpqanasWOHc5DqyZMnFRj4lw6XSZMmqbCwUI888ogeeughDRs2TNu2bfO5OUZ8icVi0bJlyy65VAbP4RyYxznoGzgP5nniHLg9zwgAAEBPcmvMCAAAQE8jjAAAAKMIIwAAwCjCCAAAMIow4qfWrl2rIUOGKDQ0VBMnTtQHH3zQbvv8/HyNGDFCVqtVSUlJ+tnPfqYLFy54qFrfs3//fs2cOVMJCQkKCAho91lNF+3du1djx46VxWJRcnKyCgoKer1OX+buOXj99dd100036YorrlBERITS09P19ttve6ZYH9WVn4OL3n33XfXr10+pqam9Vp+/6Mp5aGxs1MMPP6zBgwfLYrFoyJAh2rBhQ5drIIz4oc2bNysnJ0fLli3Thx9+qDFjxigrK0tnzpxps31hYaEefPBBLVu2TB9//LFeeuklbd68WQ899JCHK/cdNptNY8aM0dq1azvV/vjx45oxY4amTp2qsrIyZWdna/78+XwZdoO752D//v266aab9NZbb6m0tFRTp07VzJkzdejQoV6u1He5ew4uqqmp0Zw5c/S3f/u3vVSZf+nKebj99ttVXFysl156SUePHtWrr76qESNGdL0IB/zOhAkTHAsXLnQut7S0OBISEhx5eXlttl+4cKHjxhtvbLUuJyfHMXny5F6t019IcmzdurXdNkuWLHFcffXVrdbNnj3bkZWV1YuV+Y/OnIO2jBo1yrF8+fKeL8gPuXMOZs+e7XjkkUccy5Ytc4wZM6ZX6/I3nTkPf/jDHxyRkZGOb775pseOS8+In2lqalJpaakyMzOd6wIDA5WZmamSkpI295k0aZJKS0udl3KOHTumt956S9OnT/dIzZBKSkpanTNJysrKcnnO0PvsdrvOnTungQMHmi7Fr2zcuFHHjh3TsmXLTJfit/7rv/5L48eP129+8xslJiZq+PDh+vnPf66GhoYuv2effGoves/Zs2fV0tLinDH3otjYWH3yySdt7nPnnXfq7Nmzuv766+VwOPTdd99pwYIFXKbxoMrKyjbPWV1dnRoaGmS1Wg1V5r9WrVql+vp63X777aZL8RufffaZHnzwQf33f/+3+vXj68uUY8eO6Z133lFoaKi2bt2qs2fP6qc//am++eYbbdy4sUvvSc8IOrR371498cQT+u1vf6sPP/xQr7/+ut58802tWLHCdGmAEYWFhVq+fLlee+01xcTEmC7HL7S0tOjOO+/U8uXLNXz4cNPl+DW73a6AgAD9+7//uyZMmKDp06frqaee0ssvv9zl3hGipZ+5/PLLFRQUpKqqqlbrq6qqFBcX1+Y+jz76qO666y7Nnz9fknTNNdfIZrPpX/7lX/Twww+3ehYRekdcXFyb5ywiIoJeEQ8rKirS/PnztWXLlksunaH3nDt3TgcPHtShQ4e0aNEiSd9/KTocDvXr1087d+7UjTfeaLhK/xAfH6/ExERFRkY6140cOVIOh0Nffvmlhg0b5vZ78i3iZ0JCQjRu3DgVFxc719ntdhUXFys9Pb3Nfc6fP39J4AgKCpIkOXi0kUekp6e3OmeStGvXLpfnDL3j1Vdf1bx58/Tqq69qxowZpsvxKxERETp8+LDKysqcrwULFmjEiBEqKyvTxIkTTZfoNyZPnqyvvvpK9fX1znWffvqpAgMDNWjQoC69Jz0jfignJ0dz587V+PHjNWHCBOXn58tms2nevHmSpDlz5igxMVF5eXmSpJkzZ+qpp55SWlqaJk6cqPLycj366KOaOXOmM5TAPfX19SovL3cuHz9+XGVlZRo4cKCuvPJK5ebmqqKiQps2bZIkLViwQM8++6yWLFmiu+++W3v27NFrr72mN99809RH8HrunoPCwkLNnTtXTz/9tCZOnKjKykpJktVqbfUXIjrPnXMQGBh4ydPeY2JiFBoaylPgu8ndn4U777xTK1as0Lx587R8+XKdPXtWDzzwgO6+++6u99T22H058CrPPPOM48orr3SEhIQ4JkyY4Hjvvfec2zIyMhxz5851Ljc3Nzsee+wxx1VXXeUIDQ11JCUlOX760586qqurPV+4j/jjH//okHTJ6+K/+9y5cx0ZGRmX7JOamuoICQlx/OAHP3Bs3LjR43X7EnfPQUZGRrvt4b6u/Bz8NW7t7RldOQ8ff/yxIzMz02G1Wh2DBg1y5OTkOM6fP9/lGgIcDvrZAQCAOYwZAQAARhFGAACAUYQRAABgFGEEAAAYRRgBAABGEUYAAIBRhBEAAGAUYQQAABhFGAEAAEYRRgAAgFGEEQAAYBRhBAAAGPX/AA6Gb2IaZ5OaAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\") #vtdlist for patching\")\n",
    "print(\"Must have already established unitGeoms, pops, topology -- or read in via next block\")\n",
    "guessedFile = \"enter the unpatched UNIT list file, e.g. ./2024state_HD_output/\"+STATE+str(nHDs)+\"opt3ContigGoodPop.csv\"\n",
    "infile = input(guessedFile)\n",
    "inDF = pd.read_csv(infile)\n",
    "vtdListString = inDF[\"HDunitList\"]  #inDF[\"HDvtdList\"]\n",
    "nHDs = len(vtdListString)\n",
    "inVTDlist = [ast.literal_eval(vtdListString[t]) for t in range(nHDs)]\n",
    "HDweight = inDF[\"HDweight\"]\n",
    "sumWt = np.sum(HDweight)\n",
    "print(\"sum of HDweight should be unity, actually is\",sumWt)\n",
    "print(\"I will now renormalize\")\n",
    "HDweight = [HDweight[t] /sumWt for t in range(nHDs)]\n",
    "print(\"normalized weight is now\",np.sum(HDweight))\n",
    "HDvPop = inDF[\"HDvPop\"].to_list()\n",
    "hdCPx, hdCPy = inDF[\"centroid x\"], inDF[\"centroid y\"]\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs)]\n",
    "print(\"I read in\",nHDs,\"HD lists of units\") #vtds\")\n",
    "HDunitList = [inVTDlist[t].copy() for t in range(nHDs)]\n",
    "#HDunitList = [list() for t in range(nHDs)]\n",
    "#for t in range(nHDs):\n",
    "#    if t%500 == 0:\n",
    "#        print(\"working on converting HD\",t,\"from vtd list to unit list\")\n",
    "#    for v in inVTDlist[t]:  #this will skip over surrounded units, whose pops we have added to their surrounders\n",
    "#        if v in allUnits:\n",
    "#            HDunitList[t].append(allUnits.index(v))\n",
    "#    for c in unitCounties:\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(c+0.5)\n",
    "#            HDunitList[t].append(u)\n",
    "#    for j, L in enumerate(CCBlist):\n",
    "#        c = L[0]\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(j+0.25)\n",
    "#            HDunitList[t].append(u) \n",
    "            \n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "8014f0bf-74bb-40bc-b217-af4e204ea9a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "upon restart, need to pull in unit topology and data\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv ./state_map_files/MNunitTopologies_06Apr24.csv\n"
     ]
    }
   ],
   "source": [
    "#SKIP THE BELOW IF NOT A COLD RESTART\n",
    "print(\"upon restart, need to pull in unit topology and data\")  #note, this won't have geometries for plotting, but fine for patching\n",
    "topologyFile = \"enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv\"\n",
    "infile = input(topologyFile)\n",
    "topDF = pd.read_csv(infile)\n",
    "unitCPx, unitCPy, unitPop = topDF[\"centroid x\"], topDF[\"centroid y\"], topDF[\"unitPop\"]\n",
    "nUnits = len(unitPop)\n",
    "unitCP = [Point(unitCPx[u], unitCPy[u]) for u in range(nUnits) ]\n",
    "onBorder = topDF[\"onBorder\"]\n",
    "borderSet = set()\n",
    "for i, onB in enumerate(onBorder):\n",
    "    if onB == 1:\n",
    "        borderSet.add(i)\n",
    "borderList = list(borderSet)\n",
    "\n",
    "nbrListString = topDF[\"neighborList\"]\n",
    "unitNbrs = [ast.literal_eval(nbrListString[u]) for u in range(nUnits)]\n",
    "unitParentVTDno = topDF[\"unitParentVTDno\"]  #NOTE: some units are VTD fragments, so they share a parentVTDno\n",
    "uVLstring = topDF[\"unitVTDlist\"]\n",
    "unitNbrs = [ast.literal_eval(uVLstring[u]) for u in range(nUnits)]\n",
    "allUnits = topDF[\"allUnits\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "5f3a5392-11f1-4061-a458-aecd834b2748",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working avg precinct-to-HDcP distance for HD 0\n",
      "working avg precinct-to-HDcP distance for HD 800\n",
      "working avg precinct-to-HDcP distance for HD 1600\n",
      "all avgDist to HD centers computed\n"
     ]
    }
   ],
   "source": [
    "#needed for restart only  about 5sec per 2000 HDs\n",
    "avgDist = [0. for t in range(nHDs)]\n",
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if t%800 == 0:\n",
    "        print(\"working avg precinct-to-HDcP distance for HD\",t)\n",
    "    if HDvPop[t] > 0.1 * aDP:\n",
    "        avgDist[t] = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        popHDlist.append(t)\n",
    "print(\"all avgDist to HD centers computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "ea0db02f-9df8-4906-acb4-086c29c0fcc1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking for discontiguities for HD 0\n",
      "checking for discontiguities for HD 500\n",
      "checking for discontiguities for HD 1000\n",
      "checking for discontiguities for HD 1500\n",
      "checking for discontiguities for HD 2000\n",
      "checking for discontiguities for HD 2500\n",
      "checking for discontiguities for HD 3000\n",
      "checking for discontiguities for HD 3500\n",
      "checking for discontiguities for HD 4000\n",
      "checking for discontiguities for HD 4500\n",
      "checking for discontiguities for HD 5000\n",
      "checking for discontiguities for HD 5500\n",
      "checking for discontiguities for HD 6000\n",
      "checking for discontiguities for HD 6500\n",
      "checking for discontiguities for HD 7000\n",
      "checking for discontiguities for HD 7500\n",
      "checking for discontiguities for HD 8000\n",
      "checking for discontiguities for HD 8500\n",
      "checking for discontiguities for HD 9000\n",
      "out of 8814 total HDs, there were 8814 0 0 0 HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\n"
     ]
    }
   ],
   "source": [
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()  #optional contiguity check\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"checking for discontiguities for HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "27b42f93-dc87-4afe-8eb3-f30fdff4a737",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking unitUse, pop for county clusters\n",
      "8018 0.96392 174608.0\n",
      "8019 0.93869 232129.0\n"
     ]
    }
   ],
   "source": [
    "print(\"checking unitUse, pop for county clusters\")\n",
    "for uNo in allUnits:\n",
    "    if uNo - int(uNo) > 0.23 and uNo - int(uNo) < 0.27:\n",
    "        u = allUnits.index(uNo)\n",
    "        print(u,r5(unitUse[u]), unitPop[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "72941b8f-7be6-4a31-9377-618f44a34336",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unpatchedUnitUse = unitUse.copy()              #... for safekeeping\n",
    "unpatchedHDlist =  [HDunitList[t].copy() for t in range(nHDs) ]\n",
    "unpatchedHDpop =   HDvPop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "5f9ca091-1eb6-4135-a233-7f5ae0f5e3d1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unitUse = unpatchedUnitUse.copy()              #... for restarting\n",
    "HDunitList =  [unpatchedHDlist[t].copy() for t in range(nHDs) ]\n",
    "HDvPop =   unpatchedHDpop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc95ca58-c27f-4ac9-b6f7-234a94945f07",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "e9dd457d-fb37-49cf-9b19-19c17c328ede",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we exchange in under-used, THEN shed over-used\n",
      "Currently, we will stop patching when the overall sd of usage is less than 0.07\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxSD value 0.07\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this would currently cover a total of 1566 units\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated number of units to try boosting usage 200\n",
      "enter updated stopMinUse value for ending usage boost on a unit; I reco 0.97 0.97\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 2668 units out of 8020 with usage below 0.97\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n",
      "enter 1 to print out stats for every patched HD, otherwise enter reporting frequency; e.g. 10 10\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's further tighten the distro with exchanges up to 38353\n",
      "current avg and SD of unit usage are 1.00077 0.10689 . Now trying to increase up to 200 units' underusage\n",
      "all done trying to increase usage of unit 2107 final usage = 0.97546 35 sec elapsed 81 0 successful, failed patches, couldn't start= 50\n",
      "current avg and SD of usage are 1.00078 0.1054\n",
      "all done trying to increase usage of unit 3266 final usage = 0.74926 59 sec elapsed 32 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00078 0.10508\n",
      "all done trying to increase usage of unit 1292 final usage = 0.75257 71 sec elapsed 17 0 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00077 0.10487\n",
      "all done trying to increase usage of unit 1301 final usage = 0.76555 121 sec elapsed 28 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00077 0.10468\n",
      "all done trying to increase usage of unit 7652 final usage = 0.77694 157 sec elapsed 35 0 successful, failed patches, couldn't start= 78\n",
      "current avg and SD of usage are 1.00077 0.10442\n",
      "all done trying to increase usage of unit 3246 final usage = 0.83188 218 sec elapsed 44 0 successful, failed patches, couldn't start= 31\n",
      "current avg and SD of usage are 1.00077 0.10402\n",
      "all done trying to increase usage of unit 7690 final usage = 0.82635 271 sec elapsed 34 0 successful, failed patches, couldn't start= 193\n",
      "current avg and SD of usage are 1.00077 0.10338\n",
      "all done trying to increase usage of unit 7658 final usage = 0.78274 332 sec elapsed 38 0 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.00077 0.10311\n",
      "all done trying to increase usage of unit 3230 final usage = 0.80904 380 sec elapsed 34 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00077 0.10283\n",
      "begin usage increase for unit 2104 with usage 0.73779 . Sec, total UU units tried = 384 10\n",
      "all done trying to increase usage of unit 2104 final usage = 0.97325 439 sec elapsed 67 0 successful, failed patches, couldn't start= 38\n",
      "current avg and SD of usage are 1.00077 0.10199\n",
      "all done trying to increase usage of unit 3242 final usage = 0.81394 478 sec elapsed 27 0 successful, failed patches, couldn't start= 16\n",
      "current avg and SD of usage are 1.00076 0.10173\n",
      "all done trying to increase usage of unit 3863 final usage = 0.97564 510 sec elapsed 51 0 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00077 0.10009\n",
      "all done trying to increase usage of unit 911 final usage = 0.94156 540 sec elapsed 90 0 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00077 0.09931\n",
      "all done trying to increase usage of unit 7640 final usage = 0.81171 603 sec elapsed 50 0 successful, failed patches, couldn't start= 20\n",
      "current avg and SD of usage are 1.00077 0.099\n",
      "all done trying to increase usage of unit 1285 final usage = 0.93395 690 sec elapsed 88 0 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00077 0.09841\n",
      "all done trying to increase usage of unit 1416 final usage = 0.97582 761 sec elapsed 54 0 successful, failed patches, couldn't start= 62\n",
      "current avg and SD of usage are 1.00077 0.09793\n",
      "all done trying to increase usage of unit 1295 final usage = 0.95528 912 sec elapsed 83 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00077 0.0975\n",
      "all done trying to increase usage of unit 1446 final usage = 0.80272 937 sec elapsed 13 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00077 0.09742\n",
      "all done trying to increase usage of unit 3239 final usage = 0.8239 979 sec elapsed 22 0 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00077 0.09726\n",
      "begin usage increase for unit 130 with usage 0.76513 . Sec, total UU units tried = 982 20\n",
      "all done trying to increase usage of unit 130 final usage = 0.97026 1019 sec elapsed 127 0 successful, failed patches, couldn't start= 71\n",
      "current avg and SD of usage are 1.00077 0.09679\n",
      "all done trying to increase usage of unit 1284 final usage = 0.91039 1146 sec elapsed 66 0 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00077 0.09655\n",
      "all done trying to increase usage of unit 1426 final usage = 0.82865 1174 sec elapsed 19 0 successful, failed patches, couldn't start= 24\n",
      "current avg and SD of usage are 1.00077 0.09641\n",
      "all done trying to increase usage of unit 2120 final usage = 0.97538 1251 sec elapsed 59 0 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00077 0.09585\n",
      "all done trying to increase usage of unit 2071 final usage = 0.97278 1327 sec elapsed 52 0 successful, failed patches, couldn't start= 30\n",
      "current avg and SD of usage are 1.00078 0.0954\n",
      "all done trying to increase usage of unit 3232 final usage = 0.97113 1441 sec elapsed 68 0 successful, failed patches, couldn't start= 24\n",
      "current avg and SD of usage are 1.00078 0.09494\n",
      "all done trying to increase usage of unit 3871 final usage = 0.97352 1473 sec elapsed 67 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00078 0.09415\n",
      "all done trying to increase usage of unit 1436 final usage = 0.8163 1498 sec elapsed 19 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00077 0.09406\n",
      "all done trying to increase usage of unit 3236 final usage = 0.94626 1596 sec elapsed 52 0 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00078 0.09361\n",
      "all done trying to increase usage of unit 2068 final usage = 0.97186 1688 sec elapsed 59 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00078 0.09309\n",
      "begin usage increase for unit 7653 with usage 0.77651 . Sec, total UU units tried = 1691 30\n",
      "all done trying to increase usage of unit 7653 final usage = 0.86156 1731 sec elapsed 39 0 successful, failed patches, couldn't start= 65\n",
      "current avg and SD of usage are 1.00077 0.09277\n",
      "all done trying to increase usage of unit 7203 final usage = 0.97776 1837 sec elapsed 49 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00078 0.09174\n",
      "all done trying to increase usage of unit 7664 final usage = 0.97271 1964 sec elapsed 94 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00078 0.09103\n",
      "all done trying to increase usage of unit 7634 final usage = 0.88518 2011 sec elapsed 46 0 successful, failed patches, couldn't start= 69\n",
      "current avg and SD of usage are 1.00078 0.09066\n",
      "all done trying to increase usage of unit 1415 final usage = 0.94759 2085 sec elapsed 54 0 successful, failed patches, couldn't start= 30\n",
      "current avg and SD of usage are 1.00078 0.09039\n",
      "all done trying to increase usage of unit 908 final usage = 0.97768 2127 sec elapsed 103 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00078 0.08989\n",
      "all done trying to increase usage of unit 7670 final usage = 0.97111 2339 sec elapsed 96 0 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00078 0.08937\n",
      "all done trying to increase usage of unit 5753 final usage = 0.97258 2355 sec elapsed 24 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00078 0.08815\n",
      "all done trying to increase usage of unit 2481 final usage = 0.97049 2372 sec elapsed 27 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00078 0.08672\n",
      "all done trying to increase usage of unit 1943 final usage = 0.97235 2388 sec elapsed 27 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00079 0.08582\n",
      "begin usage increase for unit 2062 with usage 0.78848 . Sec, total UU units tried = 2391 40\n",
      "all done trying to increase usage of unit 2062 final usage = 0.97072 2462 sec elapsed 52 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00079 0.08557\n",
      "all done trying to increase usage of unit 3224 final usage = 0.92661 2529 sec elapsed 46 0 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00079 0.08527\n",
      "all done trying to increase usage of unit 1424 final usage = 0.95906 2667 sec elapsed 71 0 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00079 0.08501\n",
      "all done trying to increase usage of unit 3783 final usage = 0.97447 2680 sec elapsed 24 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00079 0.084\n",
      "all done trying to increase usage of unit 94 final usage = 0.91223 2750 sec elapsed 32 0 successful, failed patches, couldn't start= 225\n",
      "current avg and SD of usage are 1.00079 0.08349\n",
      "all done trying to increase usage of unit 7648 final usage = 0.97425 2906 sec elapsed 77 0 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.00079 0.08294\n",
      "all done trying to increase usage of unit 1596 final usage = 0.97085 2980 sec elapsed 75 0 successful, failed patches, couldn't start= 29\n",
      "current avg and SD of usage are 1.00078 0.08269\n",
      "all done trying to increase usage of unit 884 final usage = 0.97416 3066 sec elapsed 94 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00078 0.0823\n",
      "all done trying to increase usage of unit 3054 final usage = 0.97515 3197 sec elapsed 67 0 successful, failed patches, couldn't start= 71\n",
      "current avg and SD of usage are 1.00078 0.08151\n",
      "all done trying to increase usage of unit 2099 final usage = 0.97201 3273 sec elapsed 54 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00079 0.08109\n",
      "begin usage increase for unit 3256 with usage 0.80098 . Sec, total UU units tried = 3277 50\n",
      "all done trying to increase usage of unit 3256 final usage = 0.93502 3370 sec elapsed 50 0 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00078 0.0808\n",
      "all done trying to increase usage of unit 1428 final usage = 0.93996 3450 sec elapsed 54 0 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00078 0.08054\n",
      "all done trying to increase usage of unit 132 final usage = 0.85061 3470 sec elapsed 14 0 successful, failed patches, couldn't start= 34\n",
      "current avg and SD of usage are 1.00078 0.08048\n",
      "all done trying to increase usage of unit 2064 final usage = 0.97075 3524 sec elapsed 45 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00078 0.08005\n",
      "all done trying to increase usage of unit 7160 final usage = 0.97449 3585 sec elapsed 36 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00078 0.07937\n",
      "all done trying to increase usage of unit 7693 final usage = 0.96732 3745 sec elapsed 57 0 successful, failed patches, couldn't start= 148\n",
      "current avg and SD of usage are 1.00078 0.07898\n",
      "all done trying to increase usage of unit 3118 final usage = 0.97096 3993 sec elapsed 73 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00078 0.07857\n",
      "all done trying to increase usage of unit 1834 final usage = 0.97131 4037 sec elapsed 30 0 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00078 0.07811\n",
      "all done trying to increase usage of unit 7644 final usage = 0.8692 4130 sec elapsed 35 0 successful, failed patches, couldn't start= 53\n",
      "current avg and SD of usage are 1.00078 0.07799\n",
      "all done trying to increase usage of unit 27 final usage = 0.97034 4188 sec elapsed 79 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00078 0.07723\n",
      "begin usage increase for unit 3117 with usage 0.80742 . Sec, total UU units tried = 4191 60\n",
      "all done trying to increase usage of unit 3117 final usage = 0.9704 4408 sec elapsed 64 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00078 0.07689\n",
      "all done trying to increase usage of unit 3865 final usage = 0.97288 4448 sec elapsed 70 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00078 0.07643\n",
      "all done trying to increase usage of unit 7673 final usage = 0.88991 4543 sec elapsed 32 0 successful, failed patches, couldn't start= 73\n",
      "current avg and SD of usage are 1.00078 0.07629\n",
      "all done trying to increase usage of unit 1429 final usage = 0.94727 4657 sec elapsed 52 0 successful, failed patches, couldn't start= 20\n",
      "current avg and SD of usage are 1.00078 0.07605\n",
      "all done trying to increase usage of unit 7659 final usage = 0.97015 4755 sec elapsed 62 0 successful, failed patches, couldn't start= 19\n",
      "current avg and SD of usage are 1.00079 0.07577\n",
      "all done trying to increase usage of unit 6989 final usage = 0.97216 4867 sec elapsed 37 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00079 0.0752\n",
      "all done trying to increase usage of unit 3229 final usage = 0.97214 5005 sec elapsed 69 0 successful, failed patches, couldn't start= 24\n",
      "current avg and SD of usage are 1.00079 0.07498\n",
      "all done trying to increase usage of unit 3880 final usage = 0.97311 5067 sec elapsed 61 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00079 0.07458\n",
      "all done trying to increase usage of unit 7662 final usage = 0.97244 5270 sec elapsed 72 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00079 0.07437\n",
      "all done trying to increase usage of unit 136 final usage = 0.90662 5335 sec elapsed 29 0 successful, failed patches, couldn't start= 24\n",
      "current avg and SD of usage are 1.00079 0.07429\n",
      "begin usage increase for unit 7924 with usage 0.818 . Sec, total UU units tried = 5338 70\n",
      "all done trying to increase usage of unit 7924 final usage = 0.97403 5353 sec elapsed 30 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00079 0.07373\n",
      "all done trying to increase usage of unit 134 final usage = 0.86918 5384 sec elapsed 17 0 successful, failed patches, couldn't start= 59\n",
      "current avg and SD of usage are 1.00079 0.07367\n",
      "all done trying to increase usage of unit 3052 final usage = 0.97205 5546 sec elapsed 77 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00079 0.0732\n",
      "all done trying to increase usage of unit 3453 final usage = 0.97325 5569 sec elapsed 16 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00079 0.07256\n",
      "all done trying to increase usage of unit 6469 final usage = 0.97784 5580 sec elapsed 23 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00079 0.07195\n",
      "all done trying to increase usage of unit 3113 final usage = 0.9759 5850 sec elapsed 62 0 successful, failed patches, couldn't start= 57\n",
      "current avg and SD of usage are 1.00079 0.07171\n",
      "all done trying to increase usage of unit 7040 final usage = 0.97419 5922 sec elapsed 40 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00079 0.07116\n",
      "all done trying to increase usage of unit 6624 final usage = 0.97122 6002 sec elapsed 37 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00079 0.07073\n",
      "all done trying to increase usage of unit 6967 final usage = 0.97055 6049 sec elapsed 36 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00079 0.07041\n",
      "all done trying to increase usage of unit 3679 final usage = 0.97286 6113 sec elapsed 30 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.0008 0.06985\n"
     ]
    }
   ],
   "source": [
    "#FIRST PATCHING BLOCK - boosting underuse.  Suppresses long strings.  For some states (e.g. MA), do overused first. MA:over-und-over-und\n",
    "print(\"Here, we exchange in under-used, THEN shed over-used\")\n",
    "maxSD = 0.07  #0.07  #0.05   #adjust down if distro already tight\n",
    "print(\"Currently, we will stop patching when the overall sd of usage is less than\",maxSD)\n",
    "maxSD = float(input(\"enter updated maxSD value\"))\n",
    "stopMinUse = 1. - maxSD\n",
    "#print(\"we will stop patching on individual underused units when their usage exceeds\",r5(stopMinUse))\n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        maxNtries +=1\n",
    "print(\"this would currently cover a total of\",maxNtries,\"units\")\n",
    "maxNtries = int(input(\"enter updated number of units to try boosting usage\"))\n",
    "stopMinUse = float(input(\"enter updated stopMinUse value for ending usage boost on a unit; I reco 0.97\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage below\",stopMinUse)\n",
    "nSmallUsers = 5\n",
    "maxExchangePop = 0.05*aDP \n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP\n",
    "debug1 = int(input(\"enter 1 to print out stats for every patched HD, otherwise enter reporting frequency; e.g. 10\"))\n",
    "print(\"Let's further tighten the distro with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "\n",
    "attemptedSmallUs, startTime = list(), time.time()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to increase up to\",maxNtries,\"units' underusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedSmallUs) < maxNtries: \n",
    "    #each round, find the (5) most underused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nSmallFound, smallUsers = 0,0,list()\n",
    "    while nSmallFound < nSmallUsers:\n",
    "        consideredSmallU = idx[idxNo]\n",
    "        if consideredSmallU not in attemptedSmallUs:\n",
    "            smallUsers.append(consideredSmallU)\n",
    "            nSmallFound +=1\n",
    "        idxNo +=1\n",
    "    UUUclusters = [ [b] + unitNbrs[b] for b in smallUsers ]\n",
    "    smallUnderUse = [np.sum([(unitUse[j] - 1.) for j in UUUclusters[i] ]) for i in range(nSmallUsers) ]\n",
    "    smallI = smallUnderUse.index(np.max(smallUnderUse))\n",
    "    UUU = smallUsers[ smallI ]  #pick the unit that centers cluster with least composite use\n",
    "    attemptedSmallUs.append(UUU)  #so we don't try this unit again in a future loop\n",
    "    UUUc = UUUclusters[smallI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    if len(attemptedSmallUs) % debug1 == 0:\n",
    "        print(\"begin usage increase for unit\",UUU,\"with usage\",r5(unitUse[UUU]),\". Sec, total UU units tried =\",\n",
    "              int(time.time()-startTime),len(attemptedSmallUs) )\n",
    "    for u in UUUc.copy():\n",
    "        if unitUse[u] > 1.:\n",
    "            UUUc.remove(u)  #...drop any overused neighbors of the primary UUU from the target sheddable cluster\n",
    "    uuuHDs, uuuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if UUU not in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(UUUc) ) > 0: #the UUU or one of its underused 1-neighbors adjoins this HD\n",
    "                uuuHDs.append(t)  #Note: we'll check later if we can contiguously pick up the UUU's cluster\n",
    "                uuuDists.append( unitCP[UUU].distance(hdCP[t]) / avgDist[t] )\n",
    "        idx0 = np.argsort(uuuDists)\n",
    "    hasCandidates = True\n",
    "    if len(uuuDists) == 0:  #this underused unit is buried inside others; skip it\n",
    "        hasCandidates = False\n",
    "        print(\"   Couldn't find any HDs adjacent to underused unit\",UUU)\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo = 0,0,0,-1\n",
    "    while unitUse[UUU] < stopMinUse and idxNo < 0.8*len(uuuHDs) and hasCandidates: #arbitrarily only examine 80% closest of HDs\n",
    "        excess, giveUpOnShedding = 99*aDP, True  #default = failed swap\n",
    "        idxNo += 1\n",
    "        if idxNo % 20 == 0 and debug1 == 1:\n",
    "            print(\"try to add unit\",UUU,\"from\",abs(idxNo),\"th HD.  Usage up to\",unitUse[UUU] )\n",
    "        t = uuuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).union(set(UUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        loopUUUc = UUUc.copy()  #default; we will add whole cluster\n",
    "        if not (contig and complementContig): #we can't add whole cluster; neighbors may be enclavy.   Try just adding the UUU\n",
    "            trySet = set(HDunitList[t]).union({UUU})\n",
    "            contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "            loopUUUc = [UUU]\n",
    "        if contig and complementContig:  #we can at least add the cluster, let's go for more\n",
    "            HDuuuSet = set(loopUUUc).difference(set(HDunitList[t]))  #the subset of the UUU cluster that adjoins (NOT in) this HD\n",
    "            HDuuuCpop = np.sum([unitPop[u] for u in HDuuuSet])\n",
    "            giveUpOnAdding = False            \n",
    "            addCandidates, addUseDists = list(), list()\n",
    "            uuCandidates = getAdjoiners(trySet, unitNbrs)  #any adjoiner can be picked up, even if far from UUUc\n",
    "            for u in uuCandidates:\n",
    "                if HDuuuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    addCandidates.append(u)  #Below's relative scoring of use and distance is a bit arbitrary\n",
    "                    addUseDists.append((unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t])  #bias toward close, underused\n",
    "            if len(addCandidates) == 0:\n",
    "                giveUpOnAdding = True\n",
    "            while HDuuuCpop < maxExchangePop and not giveUpOnAdding:\n",
    "                addNneighbors = [len( set(unitNbrs[addC]).intersection(trySet) ) for addC in addCandidates ]\n",
    "                addScores = addUseDists.copy()\n",
    "                for jjj, u in enumerate(addCandidates):\n",
    "                    if addNneighbors[jjj] == 1:\n",
    "                        addScores[jjj] += 0.4321    #discourage growing fingers\n",
    "                #print(\"HDuuuCpop is now\",HDuuuCpop)\n",
    "                idx, ij, notYetPicked = np.argsort(addScores), 0, True\n",
    "                while ij < 0.5*len(addScores) and notYetPicked:\n",
    "                    listNo = idx[ij]   #work from low to high score\n",
    "                    addU = addCandidates[listNo]\n",
    "                    cContig = wontEnclave(addU, list(trySet), unitNbrs, borderUnits)  #4/20/24 sub this in as faster? vs below line\n",
    "                    #contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)  #4/20/24 this is unnec slow\n",
    "                    if cContig: #contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDuuuCpop += unitPop[addU]\n",
    "                        HDuuuSet.add(addU)\n",
    "                        trySet.add(addU)\n",
    "                        del addUseDists[addCandidates.index(addU)]\n",
    "                        del addCandidates[addCandidates.index(addU)]                        \n",
    "                        for uu in list(set(unitNbrs[addU]).difference(trySet) ): \n",
    "                            if uu not in addCandidates and unitPop[uu] + HDuuuCpop < maxExchangePop and unitUse[uu] < 1.01:\n",
    "                                addCandidates.append(uu)\n",
    "                                addUseDists.append( (unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnAdding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            addSet = HDuuuSet.copy()  #we're done building the list of underused units to add to this HD\n",
    "            trySet = set(HDunitList[t]).union(addSet) \n",
    "            excess = np.sum([unitPop[u] for u in trySet]) - aDP\n",
    "            shedCandidates, shedScores, giveUpOnShedding = list(), list(), False\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if unitPop[u] <= excess + maxGap:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward OVERUSED, far\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            shedSet = set()\n",
    "            while excess > maxGap and not giveUpOnShedding:\n",
    "                #print(\"excess pop is now\",excess,\"for HD\",t)\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    if excess - unitPop[shedU] >= -1*maxGap:\n",
    "                        contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                        if contig and cContig:\n",
    "                            notYetPicked = False\n",
    "                            excess -= unitPop[shedU]\n",
    "                            trySet.remove(shedU)\n",
    "                            shedSet.add(shedU)\n",
    "                            del shedScores[shedCandidates.index(shedU)]\n",
    "                            del shedCandidates[shedCandidates.index(shedU)]\n",
    "                            newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                            for u in newSheddables:\n",
    "                                if excess - unitPop[u] >= -1*maxGap and u not in shedCandidates:\n",
    "                                    shedCandidates.append(u)  #we'll check enclavity if ever picked\n",
    "                                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                            for kkk, u in enumerate(shedCandidates): #checking if this shed eliminates high-pop future sheds ...\n",
    "                                if excess - unitPop[u] < -1*maxGap:\n",
    "                                    del shedScores[kkk]\n",
    "                                    del shedCandidates[kkk]\n",
    "                    ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all shedcandidates would create a discontig, so can't shed enough units to square pop\n",
    "            legitSwap = False\n",
    "            if abs(excess) <= 2.*maxGap:  #giving ourselves a bit more margin after exchanges\n",
    "                contig,cContig, __, ___ = enclaveCheck(list(trySet), unitNbrs) \n",
    "                if contig and cContig:\n",
    "                    legitSwap = True\n",
    "            if legitSwap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t] = np.sum([ unitPop[u] for u in HDunitList[t] ])\n",
    "                nPatchSuccess +=1\n",
    "                #print(\"we added\",addSet,\"and shed units\",shedSet,\"from HD\",t)\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "        else:  #adding neither the UUU cluster or just the UUU worked; couldn't even start\n",
    "            nCouldntStart +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "\n",
    "    print(\"all done trying to increase usage of unit\",UUU,\"final usage =\",r5(unitUse[UUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "861f29d3-b727-49af-90a8-aa9a963e0741",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00077 1.0008 and their SDs are 0.10689 0.06985\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 9007\n",
      "working on HD 500 out of 9007\n",
      "working on HD 1000 out of 9007\n",
      "working on HD 1500 out of 9007\n",
      "working on HD 2000 out of 9007\n",
      "working on HD 2500 out of 9007\n",
      "working on HD 3000 out of 9007\n",
      "working on HD 3500 out of 9007\n",
      "working on HD 4000 out of 9007\n",
      "working on HD 4500 out of 9007\n",
      "working on HD 5000 out of 9007\n",
      "working on HD 5500 out of 9007\n",
      "working on HD 6000 out of 9007\n",
      "working on HD 6500 out of 9007\n",
      "working on HD 7000 out of 9007\n",
      "working on HD 7500 out of 9007\n",
      "working on HD 8000 out of 9007\n",
      "working on HD 8500 out of 9007\n",
      "working on HD 9000 out of 9007\n",
      "all done checking HD and complement contiguity for all 9007 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "1ee72cf0-618e-411f-aa37-518ac2c679ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "#optional intermediate save\n",
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"underPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "77c07848-50c2-4fe9-8841-768b02bf4ac4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default use threshold for moving on to next overused unit is 1.08\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated stopMaxUse value 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 3357 units out of 8020 with usage above 1.02\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this block reduces overuse, with exchanges up to 38353\n",
      "current avg and SD of unit usage are 1.0008 0.06985 . Now trying to reduce up to 3357 units' overusage\n",
      "starting to reduce usage for unit 401 with usage 1.28379 . Total units tried = 1\n",
      "try to drop unit 401 from 28 th HD.  usage down to 1.1361633922796757\n",
      "all done trying to reduce usage of unit 401 final usage = 1.01635 4 sec elapsed 40 0 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00078 0.06845\n",
      "starting to reduce usage for unit 1494 with usage 1.2694 . Total units tried = 2\n",
      "try to drop unit 1494 from 20 th HD.  usage down to 1.218259152215511\n",
      "try to drop unit 1494 from 40 th HD.  usage down to 1.158841606143189\n",
      "try to drop unit 1494 from 60 th HD.  usage down to 1.1221531161016445\n",
      "all done trying to reduce usage of unit 1494 final usage = 1.01781 33 sec elapsed 55 0 successful, failed patches, couldn't start= 24\n",
      "current avg and SD of usage are 1.00077 0.0674\n",
      "starting to reduce usage for unit 7 with usage 1.29979 . Total units tried = 3\n",
      "try to drop unit 7 from 31 th HD.  usage down to 1.2839889488931027\n",
      "try to drop unit 7 from 62 th HD.  usage down to 1.267888929278524\n",
      "try to drop unit 7 from 93 th HD.  usage down to 1.2437897420238528\n",
      "try to drop unit 7 from 124 th HD.  usage down to 1.1948117876173971\n",
      "try to drop unit 7 from 155 th HD.  usage down to 1.0923165858249166\n",
      "all done trying to reduce usage of unit 7 final usage = 1.08813 60 sec elapsed 56 6 successful, failed patches, couldn't start= 97\n",
      "current avg and SD of usage are 1.00076 0.06645\n",
      "starting to reduce usage for unit 1313 with usage 1.19796 . Total units tried = 4\n",
      "try to drop unit 1313 from 24 th HD.  usage down to 1.0869181905840393\n",
      "all done trying to reduce usage of unit 1313 final usage = 1.01765 80 sec elapsed 31 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00075 0.06571\n",
      "starting to reduce usage for unit 7725 with usage 1.19111 . Total units tried = 5\n",
      "try to drop unit 7725 from 27 th HD.  usage down to 1.0365701049536928\n",
      "all done trying to reduce usage of unit 7725 final usage = 1.01941 89 sec elapsed 22 0 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00075 0.0651\n",
      "starting to reduce usage for unit 7988 with usage 1.18919 . Total units tried = 6\n",
      "try to drop unit 7988 from 21 th HD.  usage down to 1.1888710759264194\n",
      "try to drop unit 7988 from 42 th HD.  usage down to 1.1888710759264194\n",
      "try to drop unit 7988 from 63 th HD.  usage down to 1.1784314842605508\n",
      "try to drop unit 7988 from 84 th HD.  usage down to 1.1442147057322984\n",
      "try to drop unit 7988 from 105 th HD.  usage down to 1.112498318914242\n",
      "all done trying to reduce usage of unit 7988 final usage = 1.10704 104 sec elapsed 24 1 successful, failed patches, couldn't start= 81\n",
      "current avg and SD of usage are 1.00074 0.06476\n",
      "starting to reduce usage for unit 1924 with usage 1.19101 . Total units tried = 7\n",
      "try to drop unit 1924 from 22 th HD.  usage down to 1.0584465769498699\n",
      "all done trying to reduce usage of unit 1924 final usage = 1.01812 111 sec elapsed 26 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00074 0.06407\n",
      "starting to reduce usage for unit 38 with usage 1.16911 . Total units tried = 8\n",
      "all done trying to reduce usage of unit 38 final usage = 1.01602 119 sec elapsed 23 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00073 0.06346\n",
      "starting to reduce usage for unit 3525 with usage 1.16411 . Total units tried = 9\n",
      "try to drop unit 3525 from 12 th HD.  usage down to 1.1555851001515185\n",
      "try to drop unit 3525 from 24 th HD.  usage down to 1.1385177757147502\n",
      "try to drop unit 3525 from 36 th HD.  usage down to 1.1121202617734156\n",
      "try to drop unit 3525 from 48 th HD.  usage down to 1.0738152515438542\n",
      "all done trying to reduce usage of unit 3525 final usage = 1.01837 129 sec elapsed 36 19 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00073 0.06295\n",
      "starting to reduce usage for unit 4 with usage 1.16396 . Total units tried = 10\n",
      "try to drop unit 4 from 25 th HD.  usage down to 1.063659854556132\n",
      "all done trying to reduce usage of unit 4 final usage = 1.01343 141 sec elapsed 27 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00072 0.0623\n",
      "starting to reduce usage for unit 2172 with usage 1.17435 . Total units tried = 11\n",
      "try to drop unit 2172 from 18 th HD.  usage down to 1.1092431165678676\n",
      "all done trying to reduce usage of unit 2172 final usage = 1.01774 145 sec elapsed 16 0 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00072 0.06177\n",
      "starting to reduce usage for unit 1328 with usage 1.15775 . Total units tried = 12\n",
      "try to drop unit 1328 from 37 th HD.  usage down to 1.0803569437240779\n",
      "all done trying to reduce usage of unit 1328 final usage = 1.01972 197 sec elapsed 31 2 successful, failed patches, couldn't start= 36\n",
      "current avg and SD of usage are 1.00071 0.06115\n",
      "starting to reduce usage for unit 1916 with usage 1.15582 . Total units tried = 13\n",
      "try to drop unit 1916 from 11 th HD.  usage down to 1.0958155698447674\n",
      "all done trying to reduce usage of unit 1916 final usage = 1.01012 202 sec elapsed 16 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.0007 0.06064\n",
      "starting to reduce usage for unit 50 with usage 1.17933 . Total units tried = 14\n",
      "try to drop unit 50 from 33 th HD.  usage down to 1.1211375764029377\n",
      "try to drop unit 50 from 66 th HD.  usage down to 1.1085626137145033\n",
      "try to drop unit 50 from 99 th HD.  usage down to 1.0858648451712363\n",
      "try to drop unit 50 from 132 th HD.  usage down to 1.0807936649039738\n",
      "try to drop unit 50 from 165 th HD.  usage down to 1.061936435452568\n",
      "all done trying to reduce usage of unit 50 final usage = 1.06194 233 sec elapsed 27 19 successful, failed patches, couldn't start= 121\n",
      "current avg and SD of usage are 1.00069 0.06014\n",
      "starting to reduce usage for unit 3829 with usage 1.15704 . Total units tried = 15\n",
      "try to drop unit 3829 from 12 th HD.  usage down to 1.1190269746412227\n",
      "try to drop unit 3829 from 24 th HD.  usage down to 1.0927806835561817\n",
      "try to drop unit 3829 from 36 th HD.  usage down to 1.0927806835561817\n",
      "try to drop unit 3829 from 48 th HD.  usage down to 1.0780064712248483\n",
      "try to drop unit 3829 from 60 th HD.  usage down to 1.0611386045209616\n",
      "all done trying to reduce usage of unit 3829 final usage = 1.05076 238 sec elapsed 21 9 successful, failed patches, couldn't start= 34\n",
      "current avg and SD of usage are 1.00069 0.05969\n",
      "starting to reduce usage for unit 2861 with usage 1.15205 . Total units tried = 16\n",
      "try to drop unit 2861 from 23 th HD.  usage down to 1.1155644926900639\n",
      "try to drop unit 2861 from 46 th HD.  usage down to 1.0307284703064052\n",
      "all done trying to reduce usage of unit 2861 final usage = 1.0193 245 sec elapsed 27 0 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.00068 0.05926\n",
      "starting to reduce usage for unit 7699 with usage 1.14248 . Total units tried = 17\n",
      "all done trying to reduce usage of unit 7699 final usage = 1.00953 254 sec elapsed 12 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00067 0.05883\n",
      "starting to reduce usage for unit 2224 with usage 1.1421 . Total units tried = 18\n",
      "try to drop unit 2224 from 24 th HD.  usage down to 1.023190793107187\n",
      "all done trying to reduce usage of unit 2224 final usage = 1.01218 260 sec elapsed 24 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00066 0.05843\n",
      "starting to reduce usage for unit 635 with usage 1.14018 . Total units tried = 19\n",
      "try to drop unit 635 from 23 th HD.  usage down to 1.1074114949031282\n",
      "try to drop unit 635 from 46 th HD.  usage down to 1.0824792782935042\n",
      "try to drop unit 635 from 69 th HD.  usage down to 1.0506846727566617\n",
      "try to drop unit 635 from 92 th HD.  usage down to 1.043761012499737\n",
      "try to drop unit 635 from 115 th HD.  usage down to 1.0296790358295618\n",
      "all done trying to reduce usage of unit 635 final usage = 1.02968 285 sec elapsed 40 2 successful, failed patches, couldn't start= 77\n",
      "current avg and SD of usage are 1.00066 0.05795\n",
      "starting to reduce usage for unit 5 with usage 1.13571 . Total units tried = 20\n",
      "try to drop unit 5 from 36 th HD.  usage down to 1.0379428434682265\n",
      "all done trying to reduce usage of unit 5 final usage = 1.01935 301 sec elapsed 34 13 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00066 0.05751\n",
      "starting to reduce usage for unit 7922 with usage 1.14835 . Total units tried = 21\n",
      "all done trying to reduce usage of unit 7922 final usage = 1.00884 306 sec elapsed 15 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00066 0.05712\n",
      "starting to reduce usage for unit 1894 with usage 1.13341 . Total units tried = 22\n",
      "try to drop unit 1894 from 14 th HD.  usage down to 1.0463748213522162\n",
      "all done trying to reduce usage of unit 1894 final usage = 1.01807 311 sec elapsed 13 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00065 0.05681\n",
      "starting to reduce usage for unit 1956 with usage 1.13329 . Total units tried = 23\n",
      "all done trying to reduce usage of unit 1956 final usage = 1.01561 316 sec elapsed 13 1 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00065 0.05644\n",
      "starting to reduce usage for unit 3830 with usage 1.133 . Total units tried = 24\n",
      "try to drop unit 3830 from 10 th HD.  usage down to 1.1145580785085434\n",
      "try to drop unit 3830 from 20 th HD.  usage down to 1.1059892178667137\n",
      "try to drop unit 3830 from 30 th HD.  usage down to 1.0883156983594393\n",
      "try to drop unit 3830 from 40 th HD.  usage down to 1.0686736744296514\n",
      "try to drop unit 3830 from 50 th HD.  usage down to 1.0478036166151037\n",
      "all done trying to reduce usage of unit 3830 final usage = 1.0478 321 sec elapsed 24 7 successful, failed patches, couldn't start= 22\n",
      "current avg and SD of usage are 1.00064 0.05615\n",
      "starting to reduce usage for unit 6101 with usage 1.13015 . Total units tried = 25\n",
      "try to drop unit 6101 from 18 th HD.  usage down to 1.0345403292014685\n",
      "all done trying to reduce usage of unit 6101 final usage = 1.01362 326 sec elapsed 17 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00064 0.05567\n",
      "starting to reduce usage for unit 3038 with usage 1.12903 . Total units tried = 26\n",
      "try to drop unit 3038 from 24 th HD.  usage down to 1.1256494928309737\n",
      "try to drop unit 3038 from 48 th HD.  usage down to 1.1087008001176863\n",
      "try to drop unit 3038 from 72 th HD.  usage down to 1.0768657815761509\n",
      "all done trying to reduce usage of unit 3038 final usage = 1.00939 335 sec elapsed 21 1 successful, failed patches, couldn't start= 67\n",
      "current avg and SD of usage are 1.00063 0.0553\n",
      "starting to reduce usage for unit 1180 with usage 1.12548 . Total units tried = 27\n",
      "all done trying to reduce usage of unit 1180 final usage = 1.01344 339 sec elapsed 13 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00063 0.05502\n",
      "starting to reduce usage for unit 421 with usage 1.12319 . Total units tried = 28\n",
      "all done trying to reduce usage of unit 421 final usage = 1.01688 344 sec elapsed 15 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00063 0.05464\n",
      "starting to reduce usage for unit 2707 with usage 1.12437 . Total units tried = 29\n",
      "try to drop unit 2707 from 24 th HD.  usage down to 1.0575809564620258\n",
      "all done trying to reduce usage of unit 2707 final usage = 1.0188 374 sec elapsed 21 0 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00063 0.05424\n",
      "starting to reduce usage for unit 1982 with usage 1.12208 . Total units tried = 30\n",
      "try to drop unit 1982 from 7 th HD.  usage down to 1.0811990985962987\n",
      "try to drop unit 1982 from 14 th HD.  usage down to 1.028215042143233\n",
      "all done trying to reduce usage of unit 1982 final usage = 1.01208 378 sec elapsed 14 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00063 0.05396\n",
      "starting to reduce usage for unit 774 with usage 1.12064 . Total units tried = 31\n",
      "all done trying to reduce usage of unit 774 final usage = 1.01621 385 sec elapsed 24 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00062 0.05356\n",
      "starting to reduce usage for unit 7949 with usage 1.1206 . Total units tried = 32\n",
      "try to drop unit 7949 from 18 th HD.  usage down to 1.0237278949760842\n",
      "all done trying to reduce usage of unit 7949 final usage = 1.01307 391 sec elapsed 14 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00061 0.05319\n",
      "starting to reduce usage for unit 567 with usage 1.11694 . Total units tried = 33\n",
      "all done trying to reduce usage of unit 567 final usage = 1.0155 396 sec elapsed 9 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.0006 0.05291\n",
      "starting to reduce usage for unit 1240 with usage 1.11763 . Total units tried = 34\n",
      "try to drop unit 1240 from 18 th HD.  usage down to 1.1105584946885203\n",
      "try to drop unit 1240 from 36 th HD.  usage down to 1.0878072766874194\n",
      "try to drop unit 1240 from 54 th HD.  usage down to 1.0630341048059821\n",
      "try to drop unit 1240 from 72 th HD.  usage down to 1.036617036184947\n",
      "try to drop unit 1240 from 90 th HD.  usage down to 1.0233733034509775\n",
      "all done trying to reduce usage of unit 1240 final usage = 1.02337 406 sec elapsed 28 62 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.0006 0.05264\n",
      "starting to reduce usage for unit 4791 with usage 1.11559 . Total units tried = 35\n",
      "try to drop unit 4791 from 29 th HD.  usage down to 1.0490629379873682\n",
      "all done trying to reduce usage of unit 4791 final usage = 1.01991 438 sec elapsed 32 1 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00059 0.05231\n",
      "starting to reduce usage for unit 125 with usage 1.11523 . Total units tried = 36\n",
      "try to drop unit 125 from 17 th HD.  usage down to 1.046516918691365\n",
      "all done trying to reduce usage of unit 125 final usage = 1.01128 448 sec elapsed 22 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00059 0.05197\n",
      "starting to reduce usage for unit 1748 with usage 1.11471 . Total units tried = 37\n",
      "try to drop unit 1748 from 32 th HD.  usage down to 1.0616913501336946\n",
      "all done trying to reduce usage of unit 1748 final usage = 1.01226 479 sec elapsed 39 1 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00058 0.05154\n",
      "starting to reduce usage for unit 412 with usage 1.10823 . Total units tried = 38\n",
      "try to drop unit 412 from 18 th HD.  usage down to 1.031848301630318\n",
      "all done trying to reduce usage of unit 412 final usage = 1.00651 486 sec elapsed 7 0 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00058 0.05122\n",
      "starting to reduce usage for unit 454 with usage 1.10731 . Total units tried = 39\n",
      "try to drop unit 454 from 26 th HD.  usage down to 1.0524133064417307\n",
      "all done trying to reduce usage of unit 454 final usage = 1.01789 497 sec elapsed 24 2 successful, failed patches, couldn't start= 18\n",
      "current avg and SD of usage are 1.00058 0.05091\n",
      "starting to reduce usage for unit 1262 with usage 1.1068 . Total units tried = 40\n",
      "all done trying to reduce usage of unit 1262 final usage = 1.01363 511 sec elapsed 14 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00057 0.0506\n",
      "starting to reduce usage for unit 915 with usage 1.14151 . Total units tried = 41\n",
      "try to drop unit 915 from 17 th HD.  usage down to 1.0736184011015482\n",
      "all done trying to reduce usage of unit 915 final usage = 1.01609 521 sec elapsed 19 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00057 0.05028\n",
      "starting to reduce usage for unit 7993 with usage 1.10611 . Total units tried = 42\n",
      "try to drop unit 7993 from 25 th HD.  usage down to 1.0567935546931162\n",
      "try to drop unit 7993 from 50 th HD.  usage down to 1.0530025541231396\n",
      "try to drop unit 7993 from 75 th HD.  usage down to 1.0358322417066486\n",
      "all done trying to reduce usage of unit 7993 final usage = 1.01947 530 sec elapsed 19 4 successful, failed patches, couldn't start= 62\n",
      "current avg and SD of usage are 1.00057 0.04997\n",
      "starting to reduce usage for unit 2292 with usage 1.10551 . Total units tried = 43\n",
      "try to drop unit 2292 from 19 th HD.  usage down to 1.0222847596146185\n",
      "all done trying to reduce usage of unit 2292 final usage = 1.01422 536 sec elapsed 17 2 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00056 0.04972\n",
      "starting to reduce usage for unit 7538 with usage 1.10279 . Total units tried = 44\n",
      "try to drop unit 7538 from 14 th HD.  usage down to 1.0413492686708976\n",
      "all done trying to reduce usage of unit 7538 final usage = 1.01247 544 sec elapsed 15 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00056 0.04945\n",
      "starting to reduce usage for unit 3874 with usage 1.09945 . Total units tried = 45\n",
      "try to drop unit 3874 from 13 th HD.  usage down to 1.0508332883224245\n",
      "all done trying to reduce usage of unit 3874 final usage = 1.01091 548 sec elapsed 10 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00056 0.04919\n",
      "starting to reduce usage for unit 86 with usage 1.10392 . Total units tried = 46\n",
      "try to drop unit 86 from 34 th HD.  usage down to 1.0470514132695636\n",
      "all done trying to reduce usage of unit 86 final usage = 1.01557 555 sec elapsed 27 13 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00056 0.04879\n",
      "starting to reduce usage for unit 3730 with usage 1.09689 . Total units tried = 47\n",
      "try to drop unit 3730 from 13 th HD.  usage down to 1.0787130469845145\n",
      "try to drop unit 3730 from 26 th HD.  usage down to 1.0709094261413672\n",
      "try to drop unit 3730 from 39 th HD.  usage down to 1.0245896045279537\n",
      "all done trying to reduce usage of unit 3730 final usage = 1.0178 573 sec elapsed 17 16 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00055 0.04852\n",
      "starting to reduce usage for unit 3719 with usage 1.09768 . Total units tried = 48\n",
      "try to drop unit 3719 from 13 th HD.  usage down to 1.0686084921640815\n",
      "try to drop unit 3719 from 26 th HD.  usage down to 1.0662997363148972\n",
      "try to drop unit 3719 from 39 th HD.  usage down to 1.0364944935255789\n",
      "try to drop unit 3719 from 52 th HD.  usage down to 1.0364944935255789\n",
      "try to drop unit 3719 from 65 th HD.  usage down to 1.026619380280202\n",
      "all done trying to reduce usage of unit 3719 final usage = 1.02654 582 sec elapsed 15 18 successful, failed patches, couldn't start= 35\n",
      "current avg and SD of usage are 1.00055 0.04828\n",
      "starting to reduce usage for unit 441 with usage 1.09614 . Total units tried = 49\n",
      "try to drop unit 441 from 26 th HD.  usage down to 1.0681157142357804\n",
      "all done trying to reduce usage of unit 441 final usage = 1.01266 589 sec elapsed 13 0 successful, failed patches, couldn't start= 30\n",
      "current avg and SD of usage are 1.00054 0.04805\n",
      "starting to reduce usage for unit 4222 with usage 1.10178 . Total units tried = 50\n",
      "try to drop unit 4222 from 12 th HD.  usage down to 1.0616613662913532\n",
      "all done trying to reduce usage of unit 4222 final usage = 1.01928 594 sec elapsed 21 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00054 0.04785\n",
      "starting to reduce usage for unit 2018 with usage 1.09587 . Total units tried = 51\n",
      "try to drop unit 2018 from 23 th HD.  usage down to 1.0302826236094258\n",
      "all done trying to reduce usage of unit 2018 final usage = 1.01158 602 sec elapsed 23 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00053 0.04762\n",
      "starting to reduce usage for unit 620 with usage 1.09565 . Total units tried = 52\n",
      "all done trying to reduce usage of unit 620 final usage = 1.01239 613 sec elapsed 18 0 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00053 0.04726\n",
      "starting to reduce usage for unit 509 with usage 1.09563 . Total units tried = 53\n",
      "all done trying to reduce usage of unit 509 final usage = 1.01788 617 sec elapsed 7 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00053 0.04703\n",
      "starting to reduce usage for unit 4564 with usage 1.09515 . Total units tried = 54\n",
      "try to drop unit 4564 from 13 th HD.  usage down to 1.0325835575867446\n",
      "all done trying to reduce usage of unit 4564 final usage = 1.01856 623 sec elapsed 18 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00053 0.04683\n",
      "starting to reduce usage for unit 2860 with usage 1.09647 . Total units tried = 55\n",
      "try to drop unit 2860 from 19 th HD.  usage down to 1.0215573255299955\n",
      "all done trying to reduce usage of unit 2860 final usage = 1.00709 633 sec elapsed 17 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00052 0.04656\n",
      "starting to reduce usage for unit 70 with usage 1.09229 . Total units tried = 56\n",
      "all done trying to reduce usage of unit 70 final usage = 1.0192 640 sec elapsed 12 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00052 0.04632\n",
      "starting to reduce usage for unit 3346 with usage 1.09317 . Total units tried = 57\n",
      "try to drop unit 3346 from 11 th HD.  usage down to 1.0781889815686616\n",
      "try to drop unit 3346 from 22 th HD.  usage down to 1.0560335294755674\n",
      "all done trying to reduce usage of unit 3346 final usage = 1.01908 645 sec elapsed 12 14 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00052 0.04614\n",
      "starting to reduce usage for unit 250 with usage 1.09202 . Total units tried = 58\n",
      "try to drop unit 250 from 34 th HD.  usage down to 1.0665578580868158\n",
      "try to drop unit 250 from 68 th HD.  usage down to 1.049739529904822\n",
      "try to drop unit 250 from 102 th HD.  usage down to 1.0470031783929994\n",
      "all done trying to reduce usage of unit 250 final usage = 1.01914 669 sec elapsed 36 69 successful, failed patches, couldn't start= 27\n",
      "current avg and SD of usage are 1.00052 0.04586\n",
      "starting to reduce usage for unit 3606 with usage 1.09074 . Total units tried = 59\n",
      "all done trying to reduce usage of unit 3606 final usage = 1.01231 672 sec elapsed 11 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00052 0.04568\n",
      "starting to reduce usage for unit 2712 with usage 1.08975 . Total units tried = 60\n",
      "try to drop unit 2712 from 11 th HD.  usage down to 1.0563177241537858\n",
      "try to drop unit 2712 from 22 th HD.  usage down to 1.0227605901538825\n",
      "all done trying to reduce usage of unit 2712 final usage = 1.01281 710 sec elapsed 15 0 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00051 0.04548\n",
      "starting to reduce usage for unit 93 with usage 1.08959 . Total units tried = 61\n",
      "try to drop unit 93 from 19 th HD.  usage down to 1.0494044930594166\n",
      "all done trying to reduce usage of unit 93 final usage = 1.01933 717 sec elapsed 16 1 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00051 0.04524\n",
      "starting to reduce usage for unit 3824 with usage 1.08918 . Total units tried = 62\n",
      "try to drop unit 3824 from 9 th HD.  usage down to 1.089177407911326\n",
      "try to drop unit 3824 from 18 th HD.  usage down to 1.0760927199055426\n",
      "try to drop unit 3824 from 27 th HD.  usage down to 1.06194816826035\n",
      "try to drop unit 3824 from 36 th HD.  usage down to 1.0595142624611251\n",
      "try to drop unit 3824 from 45 th HD.  usage down to 1.0404901664096635\n",
      "all done trying to reduce usage of unit 3824 final usage = 1.019 725 sec elapsed 13 20 successful, failed patches, couldn't start= 15\n",
      "current avg and SD of usage are 1.0005 0.04505\n",
      "starting to reduce usage for unit 6186 with usage 1.08914 . Total units tried = 63\n",
      "try to drop unit 6186 from 12 th HD.  usage down to 1.036845174114627\n",
      "all done trying to reduce usage of unit 6186 final usage = 1.01535 729 sec elapsed 14 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.0005 0.04489\n",
      "starting to reduce usage for unit 5640 with usage 1.08734 . Total units tried = 64\n",
      "try to drop unit 5640 from 11 th HD.  usage down to 1.0795734528909164\n",
      "all done trying to reduce usage of unit 5640 final usage = 1.01432 734 sec elapsed 12 0 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.0005 0.04473\n",
      "starting to reduce usage for unit 244 with usage 1.08745 . Total units tried = 65\n",
      "try to drop unit 244 from 19 th HD.  usage down to 1.0837842272517502\n",
      "try to drop unit 244 from 38 th HD.  usage down to 1.0632531172185493\n",
      "try to drop unit 244 from 57 th HD.  usage down to 1.0588350632530577\n",
      "try to drop unit 244 from 76 th HD.  usage down to 1.046945817999214\n",
      "try to drop unit 244 from 95 th HD.  usage down to 1.0339706361997092\n",
      "all done trying to reduce usage of unit 244 final usage = 1.03397 747 sec elapsed 25 63 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00049 0.04458\n",
      "starting to reduce usage for unit 954 with usage 1.08938 . Total units tried = 66\n",
      "try to drop unit 954 from 12 th HD.  usage down to 1.0301496517875266\n",
      "all done trying to reduce usage of unit 954 final usage = 1.01715 752 sec elapsed 12 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00049 0.04435\n",
      "starting to reduce usage for unit 1344 with usage 1.08671 . Total units tried = 67\n",
      "all done trying to reduce usage of unit 1344 final usage = 1.00965 761 sec elapsed 12 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00049 0.04413\n",
      "starting to reduce usage for unit 3884 with usage 1.08559 . Total units tried = 68\n",
      "all done trying to reduce usage of unit 3884 final usage = 1.01534 765 sec elapsed 6 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00049 0.04395\n",
      "starting to reduce usage for unit 7748 with usage 1.0854 . Total units tried = 69\n",
      "all done trying to reduce usage of unit 7748 final usage = 1.00938 782 sec elapsed 17 0 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00048 0.04364\n",
      "starting to reduce usage for unit 3328 with usage 1.08498 . Total units tried = 70\n",
      "try to drop unit 3328 from 8 th HD.  usage down to 1.0849809736489875\n",
      "try to drop unit 3328 from 16 th HD.  usage down to 1.0849809736489875\n",
      "try to drop unit 3328 from 24 th HD.  usage down to 1.067173178674479\n",
      "try to drop unit 3328 from 32 th HD.  usage down to 1.0362689628863682\n",
      "all done trying to reduce usage of unit 3328 final usage = 1.0179 788 sec elapsed 10 14 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00048 0.04345\n",
      "starting to reduce usage for unit 283 with usage 1.08493 . Total units tried = 71\n",
      "try to drop unit 283 from 21 th HD.  usage down to 1.0345924750139772\n",
      "all done trying to reduce usage of unit 283 final usage = 1.01978 793 sec elapsed 6 0 successful, failed patches, couldn't start= 29\n",
      "current avg and SD of usage are 1.00048 0.04324\n",
      "starting to reduce usage for unit 3307 with usage 1.08453 . Total units tried = 72\n",
      "try to drop unit 3307 from 10 th HD.  usage down to 1.0743080294721186\n",
      "try to drop unit 3307 from 20 th HD.  usage down to 1.0534418825935024\n",
      "try to drop unit 3307 from 30 th HD.  usage down to 1.0443098471764913\n",
      "try to drop unit 3307 from 40 th HD.  usage down to 1.0244266488638158\n",
      "all done trying to reduce usage of unit 3307 final usage = 1.0124 807 sec elapsed 15 28 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00048 0.04309\n",
      "starting to reduce usage for unit 5651 with usage 1.09823 . Total units tried = 73\n",
      "try to drop unit 5651 from 8 th HD.  usage down to 1.0550962084955742\n",
      "try to drop unit 5651 from 16 th HD.  usage down to 1.0225337558694325\n",
      "all done trying to reduce usage of unit 5651 final usage = 1.01529 813 sec elapsed 15 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00048 0.04291\n",
      "starting to reduce usage for unit 5608 with usage 1.08417 . Total units tried = 74\n",
      "try to drop unit 5608 from 7 th HD.  usage down to 1.020968077848602\n",
      "all done trying to reduce usage of unit 5608 final usage = 1.0076 817 sec elapsed 7 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00048 0.04279\n",
      "starting to reduce usage for unit 2288 with usage 1.08341 . Total units tried = 75\n",
      "all done trying to reduce usage of unit 2288 final usage = 1.01877 822 sec elapsed 13 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00047 0.04264\n",
      "starting to reduce usage for unit 4795 with usage 1.08243 . Total units tried = 76\n",
      "all done trying to reduce usage of unit 4795 final usage = 1.01894 830 sec elapsed 18 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00047 0.04245\n",
      "starting to reduce usage for unit 435 with usage 1.08222 . Total units tried = 77\n",
      "all done trying to reduce usage of unit 435 final usage = 1.01829 836 sec elapsed 13 2 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00047 0.04226\n",
      "starting to reduce usage for unit 5440 with usage 1.08217 . Total units tried = 78\n",
      "all done trying to reduce usage of unit 5440 final usage = 1.01993 840 sec elapsed 7 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00047 0.04216\n",
      "starting to reduce usage for unit 7799 with usage 1.08212 . Total units tried = 79\n",
      "all done trying to reduce usage of unit 7799 final usage = 1.0139 851 sec elapsed 13 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00047 0.04198\n",
      "starting to reduce usage for unit 261 with usage 1.08117 . Total units tried = 80\n",
      "try to drop unit 261 from 1 th HD.  usage down to 1.0811704183993582\n",
      "try to drop unit 261 from 2 th HD.  usage down to 1.0811704183993582\n",
      "try to drop unit 261 from 3 th HD.  usage down to 1.077676648960728\n",
      "try to drop unit 261 from 4 th HD.  usage down to 1.0769166237432946\n",
      "try to drop unit 261 from 5 th HD.  usage down to 1.0769166237432946\n",
      "try to drop unit 261 from 6 th HD.  usage down to 1.0700685749145182\n",
      "all done trying to reduce usage of unit 261 final usage = 1.06915 857 sec elapsed 4 2 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00047 0.04193\n",
      "starting to reduce usage for unit 23 with usage 1.07981 . Total units tried = 81\n",
      "try to drop unit 23 from 34 th HD.  usage down to 1.0393872824749502\n",
      "all done trying to reduce usage of unit 23 final usage = 1.01999 872 sec elapsed 23 25 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00047 0.0417\n",
      "starting to reduce usage for unit 7173 with usage 1.07965 . Total units tried = 82\n",
      "try to drop unit 7173 from 18 th HD.  usage down to 1.0260262216626994\n",
      "all done trying to reduce usage of unit 7173 final usage = 1.01734 880 sec elapsed 19 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00047 0.04159\n",
      "starting to reduce usage for unit 264 with usage 1.0796 . Total units tried = 83\n",
      "try to drop unit 264 from 15 th HD.  usage down to 1.0730826028779923\n",
      "try to drop unit 264 from 30 th HD.  usage down to 1.0730826028779923\n",
      "try to drop unit 264 from 45 th HD.  usage down to 1.0696370683159402\n",
      "try to drop unit 264 from 60 th HD.  usage down to 1.0696370683159402\n",
      "try to drop unit 264 from 75 th HD.  usage down to 1.0609065556553028\n",
      "all done trying to reduce usage of unit 264 final usage = 1.05924 900 sec elapsed 19 34 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.00047 0.04152\n",
      "starting to reduce usage for unit 919 with usage 1.07939 . Total units tried = 84\n",
      "try to drop unit 919 from 25 th HD.  usage down to 1.0248190461029696\n",
      "all done trying to reduce usage of unit 919 final usage = 1.01846 905 sec elapsed 15 0 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00047 0.04131\n",
      "starting to reduce usage for unit 3533 with usage 1.07911 . Total units tried = 85\n",
      "all done trying to reduce usage of unit 3533 final usage = 1.01086 911 sec elapsed 14 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00047 0.04114\n",
      "starting to reduce usage for unit 318 with usage 1.07714 . Total units tried = 86\n",
      "try to drop unit 318 from 19 th HD.  usage down to 1.0268396963379798\n",
      "all done trying to reduce usage of unit 318 final usage = 1.01842 917 sec elapsed 16 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00047 0.04097\n",
      "starting to reduce usage for unit 1915 with usage 1.08677 . Total units tried = 87\n",
      "try to drop unit 1915 from 5 th HD.  usage down to 1.0506638144317435\n",
      "all done trying to reduce usage of unit 1915 final usage = 1.01589 922 sec elapsed 7 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00047 0.04082\n",
      "starting to reduce usage for unit 112 with usage 1.07635 . Total units tried = 88\n",
      "all done trying to reduce usage of unit 112 final usage = 1.01917 967 sec elapsed 22 1 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00047 0.0406\n",
      "starting to reduce usage for unit 424 with usage 1.07585 . Total units tried = 89\n",
      "try to drop unit 424 from 20 th HD.  usage down to 1.0251306173327863\n",
      "all done trying to reduce usage of unit 424 final usage = 1.01483 973 sec elapsed 14 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00046 0.04041\n",
      "starting to reduce usage for unit 1242 with usage 1.07537 . Total units tried = 90\n",
      "try to drop unit 1242 from 26 th HD.  usage down to 1.0622375775198312\n",
      "try to drop unit 1242 from 52 th HD.  usage down to 1.044408924220314\n",
      "try to drop unit 1242 from 78 th HD.  usage down to 1.0423361281727686\n",
      "try to drop unit 1242 from 104 th HD.  usage down to 1.0353603221033247\n",
      "try to drop unit 1242 from 130 th HD.  usage down to 1.031476762716131\n",
      "all done trying to reduce usage of unit 1242 final usage = 1.03148 996 sec elapsed 15 71 successful, failed patches, couldn't start= 44\n",
      "current avg and SD of usage are 1.00046 0.04031\n",
      "starting to reduce usage for unit 6077 with usage 1.0753 . Total units tried = 91\n",
      "all done trying to reduce usage of unit 6077 final usage = 1.01913 1000 sec elapsed 6 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00046 0.0402\n",
      "starting to reduce usage for unit 1791 with usage 1.0747 . Total units tried = 92\n",
      "all done trying to reduce usage of unit 1791 final usage = 1.01824 1004 sec elapsed 14 1 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00046 0.04007\n",
      "starting to reduce usage for unit 7737 with usage 1.07431 . Total units tried = 93\n",
      "all done trying to reduce usage of unit 7737 final usage = 1.01526 1008 sec elapsed 7 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00046 0.03991\n"
     ]
    }
   ],
   "source": [
    "#SECOND PATCHING BLOCK -- OVERUSERS.  applies a suppression of LONG STRINGS.  run second for most states except MA\n",
    "maxSD = 0.04 #0.06  #0.08  #0.04\n",
    "stopMaxUse = 1.+  2.* maxSD  #0.5*maxSD  #don't be too aggressive; may create long chains\n",
    "print(\"default use threshold for moving on to next overused unit is\",r5(stopMaxUse) )\n",
    "stopMaxUse = float(input(\"enter updated stopMaxUse value\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage above\",stopMaxUse)\n",
    "nBigUsers = 5\n",
    "maxExchangePop = 0.05*aDP\n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP \n",
    "print(\"this block reduces overuse, with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        maxNtries +=1\n",
    "#maxNtries = int(currSD * nUnits / nDistricts)   #try up to about 10% of the districts a unit is drawn into\n",
    "#maxNtries = 10 #overrirde\n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "attemptedBigUs = list()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to reduce up to\",maxNtries,\"units' overusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedBigUs) < maxNtries: \n",
    "    #each round, find the (5) most overused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nBigFound, bigUsers = 0,0,list()\n",
    "    while nBigFound < nBigUsers:\n",
    "        consideredBigU = idx[-idxNo-1]\n",
    "        if consideredBigU not in attemptedBigUs:\n",
    "            bigUsers.append(consideredBigU)\n",
    "            nBigFound +=1\n",
    "        idxNo +=1\n",
    "    OUUclusters = [ [b] + unitNbrs[b] for b in bigUsers ]\n",
    "    bigOverUse = [np.sum([(unitUse[j] - 1.) for j in OUUclusters[i] ]) for i in range(nBigUsers) ]\n",
    "    bigI = bigOverUse.index(np.max(bigOverUse))\n",
    "    OUU = bigUsers[ bigI ]  #pick the unit that centers cluster with most overuse\n",
    "    attemptedBigUs.append(OUU)  #so we don't try this unit again in a future loop\n",
    "    OUUc = OUUclusters[bigI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    print(\"starting to reduce usage for unit\",OUU,\"with usage\",r5(unitUse[OUU]),\". Total units tried =\",len(attemptedBigUs) )\n",
    "    for u in OUUc.copy():\n",
    "        if unitUse[u] < 1.:\n",
    "            OUUc.remove(u)  #...drop any underused neighbors of the primary OUU from the target sheddable cluster\n",
    "    OUU2nbrSet = set( unitNbrs[OUU])\n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.union(set(unitNbrs[u])) \n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.difference({u})\n",
    "    ouuHDs, ouuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if OUU in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(OUU2nbrSet) ) > 0: #the OUU or one of its overused 1-neighbors adjoins the complement\n",
    "                ouuHDs.append(t)  #so we can shed the OOUc to the complement\n",
    "                ouuDists.append( unitCP[OUU].distance(hdCP[t]) / avgDist[t] )\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo, idx0 = 0, 0, 0, 0, np.argsort(ouuDists)\n",
    "    while unitUse[OUU] > stopMaxUse and idxNo > -0.5*len(ouuHDs): #arbitrarily only examine 50% of HDs, biasing farthest ones\n",
    "        idxNo -=1\n",
    "        if idxNo % int(0.1*len(ouuHDs)) == 0:\n",
    "            print(\"try to drop unit\",OUU,\"from\",abs(idxNo),\"th HD.  usage down to\",unitUse[OUU] )\n",
    "        t = ouuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).difference(set(OUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        if not (contig and complementContig):  #dropping the cluster creates a problem (likely an HD discontig).  Try something simpler ...\n",
    "            if len(set(unitNbrs[OUU]).intersection(HDadjoinSet) )  > 0:  #Yay! The OUU itself on border.  Try dropping just it, not the full cluster\n",
    "                HDouuSet = {OUU}\n",
    "                trySet = set(HDunitList[t]).difference( {OUU} )\n",
    "                contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        else:\n",
    "            HDouuSet = set(HDunitList[t]).intersection(set(OUUc))\n",
    "        if contig and complementContig:  #we can at least drop the cluster, let's go for more\n",
    "            #HDouuSet = set(HDunitList[t]).intersection(set(OUUc))  #the subset of the OUU cluster that's in this HD.  Defined above\n",
    "            HDouuCpop = np.sum([unitPop[u] for u in HDouuSet])\n",
    "            giveUpOnShedding = False            \n",
    "            shedCandidates, shedScores = list(), list()\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if HDouuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward far, overused\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            while HDouuCpop < maxExchangePop and not giveUpOnShedding:\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                    if contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDouuCpop += unitPop[shedU]\n",
    "                        #print(\"shedding unit\",shedU,\"from HD\",t,\"total shed Pop now\", HDouuCpop)\n",
    "                        HDouuSet.add(shedU)\n",
    "                        trySet.remove(shedU)\n",
    "                        del shedScores[shedCandidates.index(shedU)]\n",
    "                        del shedCandidates[shedCandidates.index(shedU)]\n",
    "                        newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                        for u in newSheddables:\n",
    "                            if HDouuCpop + unitPop[u] <= maxExchangePop and u not in shedCandidates:\n",
    "                                shedCandidates.append(u)\n",
    "                                shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            shedSet = HDouuSet.copy()  #set(OUUc).intersection(set(HDunitList[t]))\n",
    "            trySet = set(HDunitList[t]).difference(shedSet) \n",
    "            gap = aDP - np.sum([unitPop[u] for u in trySet])\n",
    "            nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "            for u in trySet:\n",
    "                for uu in unitNbrs[u]:\n",
    "                    if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:\n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append(5.*(unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                        #bias toward UNDERUSED, close\n",
    "            addedSet = set( )    \n",
    "            stillGoing = True \n",
    "            while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "                nearHDscore2 = nearHDscore.copy()\n",
    "                for ij, uu in enumerate(nearHDlist):\n",
    "                    nHDnbrs = len( set(unitNbrs[uu]).intersection(trySet) )\n",
    "                    if nHDnbrs == 1 :  #BIAS AGAINST CREATING A SLIM CHAIN\n",
    "                        nearHDscore2[ij] *= 0.5   #make this score closer to zero (less negative)  #NEW FOR GA 3/11/24\n",
    "                idx, ij, notYetPicked = np.argsort(nearHDscore2), 0, True   #originally, used nearHDscore itself here\n",
    "                while ij < len(nearHDscore) and notYetPicked:        \n",
    "                    listNo = idx[ij]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                    unitNoToAdd = nearHDlist[listNo]  #add this unit ...                            \n",
    "                    canAdd  = wontEnclave(unitNoToAdd, list(trySet), unitNbrs, borderUnits)\n",
    "                    if canAdd:\n",
    "                        notYetPicked = False\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    stillGoing = False  #can't add any more units; we can't without creating an enclave\n",
    "                else:\n",
    "                    gap -= unitPop[unitNoToAdd]\n",
    "                    addedSet.add(unitNoToAdd)\n",
    "                    trySet.add( unitNoToAdd)\n",
    "                    for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                        if uu not in trySet and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:  \n",
    "                            nearHDlist.append(uu)\n",
    "                            nearHDscore.append(5.* (unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] ) \n",
    "                            #bias toward UNDERUSED, ~close\n",
    "                    del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                    del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                    for ijj, uu in enumerate(nearHDlist.copy()):\n",
    "                        if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                            del nearHDscore[nearHDlist.index(uu)]\n",
    "                            del nearHDlist[ nearHDlist.index(uu)]\n",
    "            currPop = np.sum([unitPop[u] for u in trySet])\n",
    "            if abs(currPop - aDP) <= 2.* maxGap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addedSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t]    = currPop\n",
    "                nPatchSuccess +=1\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "        else:\n",
    "            nCouldntStart +=1\n",
    "            #print(\"Due to discontiguity, can't drop OUU cluster for HD, OUU\", t, OUU)\n",
    "    print(\"all done trying to reduce usage of unit\",OUU,\"final usage =\",r5(unitUse[OUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )\n",
    "            \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "92f90621-e7fc-4891-a5cd-69033c3c48e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#copy one of two above blocks and run again if needed (n/a for NC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "cb60da52-ca13-45dd-8bf0-475213183a0d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "overused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "underused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"overused units\")\n",
    "maxPlot = 1.06\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > maxPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"underused units\")\n",
    "minPlot = 0.94\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa912158-e8e9-46f3-8c3d-f6b17c26e62c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Note - for MA, above is second run-through after overuse, then underuse pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "0d4f1372-6044-4803-91d9-de4b95a40083",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00077 1.00046 and their SDs are 0.10689 0.03991\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 9007\n",
      "working on HD 300 out of 9007\n",
      "working on HD 600 out of 9007\n",
      "working on HD 900 out of 9007\n",
      "working on HD 1200 out of 9007\n",
      "working on HD 1500 out of 9007\n",
      "working on HD 1800 out of 9007\n",
      "working on HD 2100 out of 9007\n",
      "working on HD 2400 out of 9007\n",
      "working on HD 2700 out of 9007\n",
      "working on HD 3000 out of 9007\n",
      "working on HD 3300 out of 9007\n",
      "working on HD 3600 out of 9007\n",
      "working on HD 3900 out of 9007\n",
      "working on HD 4200 out of 9007\n",
      "working on HD 4500 out of 9007\n",
      "working on HD 4800 out of 9007\n",
      "working on HD 5100 out of 9007\n",
      "working on HD 5400 out of 9007\n",
      "working on HD 5700 out of 9007\n",
      "working on HD 6000 out of 9007\n",
      "working on HD 6300 out of 9007\n",
      "working on HD 6600 out of 9007\n",
      "working on HD 6900 out of 9007\n",
      "working on HD 7200 out of 9007\n",
      "working on HD 7500 out of 9007\n",
      "working on HD 7800 out of 9007\n",
      "working on HD 8100 out of 9007\n",
      "working on HD 8400 out of 9007\n",
      "working on HD 8700 out of 9007\n",
      "working on HD 9000 out of 9007\n",
      "all done checking HD and complement contiguity for all 9007 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "ac9cd133-94f0-494b-ac74-0c584482d97e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"fullyPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "26b87c95-101f-4f8f-bb73-feb1827ac6b5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    }
   ],
   "source": [
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))\n",
    "if noFrag == 1:\n",
    "    nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "ec102553-e4f3-4010-86bc-725a01b95788",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter([v for v in range(len(parentVTDno))],parentVTDno)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "55d64c64-b473-49d0-b863-d4123cbb9b6c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for v in range(nVTDs):\n",
    "    if v %2000 == 0:\n",
    "        print(\"confirming vtd\",v,\"is not in the map but missing from the parent vtd list\")\n",
    "    if MAP.contains(vtdGeom[v].centroid) and v not in parentVTDno:\n",
    "        print(\"Uhoh,\",v,\"is in the map but not in the parent vtd list\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "ecd50c96-51ce-4d83-b0df-e8c645c35815",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after above patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on full or partial VTD master list for unit 0\n",
      "working on full or partial VTD master list for unit 2000\n",
      "working on full or partial VTD master list for unit 4000\n",
      "working on full or partial VTD master list for unit 6000\n",
      "working on full or partial VTD master list for unit 8000\n",
      "Now converting unit lists to vtd lists for all HDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"after above patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "5075814f-4a75-4807-ad8d-b3cc969cb470",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9007 9007 9007 9007 9007 9007\n"
     ]
    }
   ],
   "source": [
    "\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDvPop = HDvPop[0:nHDs]\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDfullVTDlist = HDfullVTDlist[0:nHDs]\n",
    "HDpartialVTDlist = HDpartialVTDlist[0:nHDs]\n",
    "HDvtdFrac = HDvtdFrac[0:nHDs]\n",
    "hdCPx, hdCPy = hdCPx[0:nHDs], hdCPy[0:nHDs]\n",
    "print(nHDs,len(tList), len(HDweight), len(HDvPop), len(HDvtdFrac), len(hdCPx) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "e385f357-5b7e-46f5-b054-c5c38d799395",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0000000000000002 9007\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight), nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "8d922813-2854-41d7-9405-22db5d5d5a59",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now append the cut districts and adjust the HDweights\n",
      "37 1 are the number of HD-drawn and cut districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Now append the cut districts and adjust the HDweights\")\n",
    "print(nDistricts,nCutDistricts,\"are the number of HD-drawn and cut districts\")\n",
    "HDweight = [nDistricts/float(nCutDistricts + nDistricts) * HDweight[t] for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "if type(hdCPx) != type(list()):\n",
    "    hdCPx, hdCPy = hdCPx.to_list(), hdCPy.to_list()\n",
    "for L in allCutLists:\n",
    "    tList.append(len(tList))\n",
    "    HDweight.append(1./(nCutDistricts + nDistricts))\n",
    "    pop = np.sum([tractPop[v] for v in L])\n",
    "    HDvPop.append(pop )\n",
    "    HDfullVTDlist.append(L)\n",
    "    HDpartialVTDlist.append(list() )\n",
    "    HDvtdFrac.append(list() )\n",
    "    hdCPx.append(np.sum([tractPop[v]*tractCPx[v] for v in L]) / pop )\n",
    "    hdCPy.append(np.sum([tractPop[v]*tractCPy[v] for v in L]) / pop )\n",
    "    \n",
    "\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                        \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedWithCutsVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "b0b611f7-6c35-495d-b38c-c848317d63ab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "b9d808de-119f-4197-8e0c-8407c105d789",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that VTDs are represented 1.0 across all units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"checking that VTDs are represented 1.0 across all units\")\n",
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "plotVTDs, plotUses = list(), list()\n",
    "for v in range(nVTDs):\n",
    "    if tractPop[v] > 0  and v not in allCutVTDs:\n",
    "        plotVTDs.append(v)\n",
    "        plotUses.append(vtdUSE[v])\n",
    "plt.scatter(plotVTDs, plotUses)\n",
    "plt.show()\n",
    "for i,v in enumerate(plotVTDs):\n",
    "    if plotUses[i] > 0.1 and plotUses[i] < 0.9 :\n",
    "        print(v,tractPop[v], plotUses[i],\"vtd no, its pop, and usage across all units\")\n",
    "        plotPoly(tractGeom[v])\n",
    "unused = list()\n",
    "for v in range(nVTDs):\n",
    "    if vtdUSE[v] < 0.2 and MAP.contains(vtdGeom[v].centroid) and tractPop[v] > 0:\n",
    "        unused.append(v)\n",
    "        #print(v,\"in county\",countyNo[v],\"has pop\",tractPop[v],\"and map-total usage of\",vtdUSE[v],\"its surroundedness is\",v in surroundedVTDs)\n",
    "        plotPoly(vtdGeom[v].centroid.buffer(0.1))\n",
    "        plotCenter(v,vtdGeom[v],8)\n",
    "    #if vtdUSE[v] > 0.2 and vtdUSE[v] < 0.95:\n",
    "    #    plotCenter(r3(vtdUSE[v]),vtdGeom[v])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "3d2a393c-5ab8-4140-80eb-1153c2ef41f9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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z5jxKZGQln38+0/3a/Pnz6dq1K0uXLuX6669nxowZFBYW8uOPP/Lrr18wfryFBx68gBUrM7j4Epg791lWrlzOtGnTcDqdp+0Yi8aaXHwYjUaSkpLo1asXU6ZMoXv37rz55pssWrSIAwcOEBgYiF6vR69vODlceumlDB069C/XZzKZ3HfPHP0R4q+4L7to5LKL8Fw6nTcmYwQHDjacQO12S6PX7fYKFi/pzM6dD2KxbKJL56nExl5Nh/YPkJQ0GZutkKKiH9m77znWrjufrdvupLp6z19ur7BwHjt2PsjBg2/idNqOeb2+vhQAp7OaqKhL0Om8yMv7jC+//JLi4mIsFgsdOnRg0qRJABzKns4DDwwhPj6coqK9XH75ZTzwwAMUFhayYMECFi9ezODBg6moqCAlJYVVq1bRu3dvamtrcblc6HQ6dzHw+OOP0717dyoqKnjrrbfo0KEDI0eO5Mcff2TgwIE8/fTT9OzZE71ez5EjR5g5cyZLlizhnnuux26vxG4v57t5z9Kx4x6277iH9h028vXXk6ipOYjDUUNSUhI1NTUAlJeXExoaSnZ2NklJ4axeM4S4+BL27Q0iImIMhYUz2ZJ5I7/82pmAgGzKy5edlr+3ONYpf310uVzYbDaefvppbr755kavdevWjddff/2YjqpCnCz3ZRettHwIz1ZfX+z+vcKyES+vKLy9E6mtzWb1muEAeJmiychYgkajcy97tJVk1+5JGAzBhIYMpbxiHZs2X83AAWvQavXY7RbWrR+D1ZpHYsLdZB16G7NXPEW2H6ivP0JKynONsuh0PgAkJt5L+8R7sNvLKK9Yy1dfZdK/fzuOlCxkwoSrefDBh9m8eQNm83b69fNn+fISVqzsz4EDXqxdm0NSUhJWq5Xvv/+e888/n2XLlvHFF1+wfft2/P39iYiIwGazsXDhQtq1a0dVVRVms5nu3bsDDa0U8+fPJyIikMDAEGLjnFRXz2Hx4hxSU3tjMpm45ZabMRqtXH1NCUlJPmi1JnKyi9i7z8GPP4YQHp5Cdc1q1qxtuLXZbo/ik08288EH/wVg0aLXqK6Zyuefz2X1aiMVFU7q6vzp1PEJ4mJvID29AwcP2ggN1bN+w42cM3o/yu93QP3x7yBOTZM+wSdPnsy5555LfHw8VVVVzJ49myVLlrBgwQIiIyOP28k0Pj6exEQZUEecHnLZRZwpTKYIuqa+Se7hj8nOnk5W1hv4+HSkrq7h0nNk5EV0TnnhmBNegH93hgzeit1egckUilZrYv+BqeTlzXYvm5M7A6s1D4CsQ28DWnr1+pz9+1+iqPhHOnX6NxUVG9i8ZQIAZnM7jMZwYqKvACA29lo2bhxHVlYOHTua2Lr1Vvbti6a2tpYvv7yfJ/51G8HB11B85BXOPecgLpeWDh2SWLlyJe3ateOFF17AaDTicrm49dZbuffee0lISKBz58788MMPeHl5UVjYMHDbL7++y9AhN5CUFIbTqSE6WuGllw1MuGY7Ot0RXn7pCBUVTmLjannwwc58NHM3mzbVcftt9ZjNJoKCfLj00suwWbcQERHO+vXrKS6u5cJ1WWi1GsLCc7FaHTid4HQqDBhwB97eWoKC9OzebcXhACjFZDLx/PPPc/vtLzJqtI2LL/o3VVUuFi3uBIC/f3d69/pKCpDTpEmf4MXFxVx77bUUFBQQEBBAWloaCxYs4Oyzz26ufEI0oshlF3EGiYi4gIiIC3A6rZSULqbkyG+Eh51LTMwVfzsMu17vg17v435cX1+Kw1HJho2XAy4qKzPRaPT0PWs+TmcNer0vZWUrKSz6DoMhGFCw2vLd76+ry6ZP77mYTOFAQ4HTtetbhITchtHYnU4dL+Lll+7G29vGrt2TGXX2MJ544is6tDfz6msR3HN3CYcO7SMr6wV0Oh16vZ6UlBS2bdtGSEgIWq2W3NxcFEUhLCwMo9FIr17p7N+/lJtuvBE/PyfT/+PP22+VcuCAC19fLTExvjz3bAnDhp1PWXkRYaFWfvpxB2XlRm6+OY3Jk1fw/vv/Zdas//H559+5Lw1FRERQWVnJ448/wfbt2/niiy8wm83otC6iowOpszlQtAbiIiOoqcnB19eXiIgINm/ezIsvvojZbObBB/OJjo6mR/obmM21FBZ9i8WyiUWLOxEZMZbU1Nea63+JNqNJxceMGTOatHJFZiAVp5lLkcsu4syj03kREX4uEeHnntT7O3V8HF/fZCorM9FqTYSHnUNc3A1o/3BLek7ODLRaM33P+gmt1kRZ2UoAIiPG0rHj4xiNIY3WGR42mhtvfJHHHnuM2Niv2bv3Ubp1a0+PHu9TWhKM3T6Kjh3PoXvaHQQG3YB9XxWXXvYONptCnz5J2B3VKIrC9u3b0ev1lJWVERoaSHV1Ff7+AaxevQabzYHTaef8C9JJ6vA8RUXPotHUMPHWKgYMuBCLxcKFF17E4cOHcTqd7N+/h6uvGs23336Hr68fa9asZejQoSxfvpz+/fuzceNGQkJCUBSFn3/+mbKyMvz9/XHV11FVZ2PvoUL69O7Ntu1byeidzpqNWykvL2fcuHEUFhbidDrRaDT4+voSHh5OaWkU/fr1Izb2alatHkZdXQ6FRd+RmHgPZnM7nM5q9Hq/k//Dt2EapZVVCJWVlQQEBGCxWKTzqThGUdGPbN9xD0MGb5F/9EI0QXn5GjZtvpq42Ovp1OlfHDz4Jjm5HzJk8Ja/HWOkT58+7N27F71ez5QpU3j99df55JNPeOutt/jxxx9xOBzU1NTQMTKON2cEccWVWygvd2EwaDB7G3A6GsYlqa6uRqMBjRbS0iLZmlmI0ajh4Ud68eYbe+natStbt25l48aNxMTEkJiYSEhICGVlZXTq1ImQkBB27dqFVquloKCAgQMH4u/vT2hoKB9++CFvvPEG//3vf9m1axfV1dUYDAZcLhdeXl7ccuMNfDr7E6qqqlG0GhSXE2v+XroOvpDdu3ejKArXXXcdNTU1REZGkpKSglarRa/Xc9NNNwENX6azs6dx4OCrjY6PyRSJVmuiZ49P8fJq2wNrNuX8LV8fhUeRyy5CnJyAgJ6Eh51L7uGPsNUfoaZmH3q93z8ObrZ+/XqgYfTq1157jV27dvHCCy9wzjnnMGtWw/gkkx+dxE/f/8Sq1efRPdkLjdmLr756hs1bbuC338Korkqn2raQPr0iWLbYxYSbTTxwTy0+PiGMHnU3n81+guXLl2O32zGZTLhcLrp168Zzzz3nHsQS4L333sPX15effvoJm81GcHAwBQUF+Pn58cEHH9C3b1/27t1LVFQU11xzDVarlWnTpvHOtPcbihFFwctoxG6HHXsOkpWVRWBgILW1tZSVldGlSxe++OILHn/8cZ588knGjRvn3rZGoyEh4Q68zHHs2HGf+/mjkw6uXDWQXj2/IDCw9+n6k53RmnyrrRBqOnrZRTp9CdE0Wq2Rrl3fpkOHR7DZCjDoA+jW9cQH0kpPTyciIoJBgwaxY8cOLr30UiZOnAjAeedfQFllBa+++ibb9u3lzTffZPLk//HO27H8+MMmPv/8AzasOcSsD4uBGKY+56CuJoC8Qiv33fc2Yy9KR6vVMmXKFIYOHcrgwYPp1KlTo8IDICMjg99++42LL76YpUuXMmDAALZv305qaip+fn588803OBwOOnTowLx588jNOYy/vz/Dhw8nMCQQu9PF/Q89TL+M3vQadgE2m43a2louvvhiAgMD6datG1VVVVx++eU4nU6GDRt2zHGIjBjDsKE76dXzCxIT7yMm+kr3axs3jWfZ8j4sXNSBrdvuJCfnQ/dtzKIxuewiPEpe3ufs3vM4w4ftl8kLhWgliouLOXz4MD179mTHjh1oNBq0Wi2hoaHk5HxIZf0yKnxHERJ9HUk+ZqJMRopsdhbnbWSIOY/CwiP06HEbiqJw+PBhamtrCQ4OJiws7JhtPfzww6xZs4adO3dit9txOp2MGTOGTZs2AQ2XRw4dOoRJb6LeYSfQNxCfYC0VZTVUVdZwzpC+3HHTWB5/fTYXnn8RU6dOpVOnTvTu3Zvk5GT8/Py47bbbmrT/VVU7Wbf+r4eUiI4aR0rK8yiKnfr6Ury8opt2gD2EXHYRZyxFcaDR6KXwEKIVCQ8Px+VysW/fPry8vOjQoQMA2dnZpKTchbf3IwAcrLUxO7+MJB8TgXo94xP7otFoqK7ex759+wCIior622k2/jiy6VEPP/wweXl5xMfHM3PmTO6++27ef+c91v3yI3fefS9GnYHI5Djee/MNevTNYNzFFxOg8yInJ4eSkhK8vb2BhpaV77777rjbnTRpEqtWrSIhIYEPP/wQg6Hh0m9dXR1XXTWJyspY9Ho9L08dQ339D3z7rY4ff1iKl1nLI4/MJr/gS7ZtszL9/VL8/VPQaLxYu3ate/1ms5mCggKMRiMjR45k1apV7tc0Gg3vvfcet99+e6NMU6ZMYfLkyY2e69SpE3v2/PWAc62FtHwIj5KTO5MDB15h2NAdakcRQpyEvTVWwox6ggwt8923bssWrLt2oQsKRuvjg2K3Y+6Rjv1wHuZux85GfDyZmZlMnTqVTz75hOeff5727dtz5ZUNl1u++eYb1q9fz5QpU/j444/Jzc3lxhtv5KqrruLLL5/i2+8eZN68vdx7byj/eqKQWycGExU1kQvOfxpHwyAjbgMGdOXGGy/krrumUldnR6OBo2doLy8v9Hq9e5RYaBhxXKPRYDQaqaqqwt/fn8rKSrKyskhISDhtx/BENeX8LX0+hEc52vIhhPBMnXy8WqzwADCnpxN05ZX4nzMa30ED8erSmZrly9GavU54HatWrWLUqFEAnHPOOaxcudL92l8N356amkpo6GCuv241WQfjGTH8AD16DMdq9eWHH95wFx56vYbQ0IZT8bp123E6Z+Hn73KvX/t79zabzUpNTY278ACor6/HbrdTVVUF4J6Lpq7u9M3701zkU1x4FMXlaDR2gRBCNIUhMpKACy9s0nvKy8uJimq4jTYgIICysjL3ax07dmTnzp2kpqaiKArr1q3DarWyYcMGbDYb11xzDXv37mXChAncfvtkxo0bR3V1jfv9DodCaany+++weXMdloqGIkJRQPl9bruGFpDGFyp0Oh2KomAymbDZbNTU1KDRaNxZWzNp+RAexSUtH0KIFhYYGEhlZSUAFouF4OBg92uzZs1iQP8MNs1fzTPPPMOzzz5LaGgot99+OxkZGWzbto2BAweSkpLC9ddfz9KlS3n++Vfc7w8PD8NoNAGg0WiZO9dIff3x+7Tp/nSTX2hoKBqNptGAnoqisGjRotO1681Gig/hURTFLsWHEKJFHb3FF2DBggUMGDDA/ZqiKAT7BqHYnPjXGinLLsa6p4zLe5/PzTffzMUXX8zQoUM555xzqKqqIigoiAEDBqD7vZI4cqSE+vp6oKHTaWhoKFptw6lZq9Xi5fX/l4d+v6riVlJSQkpKCvX19Y064efk5DTLcTid5FNceBTF5UArA4wJIVrQH8c4iY+P56GHHmLixIlMnz6dq666inEXXcbXX89BMWmZMWMG+lBvrhh/BZsObCUhIYEffviB/Px8UlJSOPfcczEYDBiNRurq6hq1WtTU1LB//353vw6Xy4XVagXAZAKbrXEuRVHYsWOH+3douDPGbre3wFE5NXK3i/Ao+/a9QEnpYvr3+1XtKEII4eYoqcNRWoeigNakQx9qZvrHH+Dr68u1117Lxo0bmTlzJu+88w6ZmZmMHTuWHj16sH79eoqKitBqtWRlZdGuXTuGDh1Kx44dmT59OlqtFkUDKcl6amt8MBpD3YOjRUVFMWfOHPbt28f48eNRFIXw8HD271dnHCQZ50OcsVxy2UUI0QrpQ83oQ83ux5MmTeKXX37BYrFw5ZVXui/X1NXVMXLkSCoqKsjLy+OKx99m2SevY7XaGHL2ebgUhTVr1pCdnU1AQABGoxGrtZx9e21otQ40mlpmzJhB165dycjI4Prrr+fuu+/mwgsv5MiRI0ydOtUjxkGSPh/CoyiKXHYRQrRumZmZ5OXlsXnzZmJiYujWrZt7SPrhw4ej1Wr56KOPMBqNzH7uLgpzDxEXFUZ8VChJyV2oq7Oyf/9+ysvLiY+PJympG/X1Ci9MuYiOHTvy2muvMXnyZDIyMkhOTubWW29lzpw5hIaGkpaWpvbunxApPoRHUVwONFpp+RBCtF5/HBekffv2VFZWotVq0Wg0DB8+nODgYOrq6oiMjESr1eJ0usgvOkKviyey/8ABFCAmOhqNRkNOTg7btm0D4InHvyM3N5e9e/eydOlSrr76agoKCtzbLS4uVmN3T4oUH8KjyGUXIURrV15ejr+/P5mZmVRUVDB06FBSUlKYM2cORqMRp9PJvffey5EjR/Dx9mbChGuoraygo7GCgEATistJdWUlXkYjcd7e2Ovr0WjglVcvpaKigg4dOjBq1ChSUlL46quvCAwMpEuXLh7VT1I+xYVHkRFOhRCt3dFxQVatWkVpaSnr16+noqKCw4cPs2TJEkpLSwkKMpGXVw7AnDlf4utr5vY7bkenbbhjpeL3UUt3HznC0fHF7rj9cwC2b9/O/v37mT9/vvs2W41Gg4+Pj0p73HTS8iE8iqI40UrxIYRoxY6OC7Jz507y8vJ49dVXSUlJYdWqVeh0Otq1C6dz554AmEwmNBotoaEh+AcY6T8yAD8fMxoNhIWFuodhT08LICLcj4iICKqrq3nnnXe46aab6NGjB8OGDWPu3Lnu2249gXyKC4+iKC7QSM0shGidjs5+W1ZWRlFREYGBgVx66aW8//777NmzB29vbyoqKlCU3QDo9Xrq6+3s2LEXRYEVv9TjdDSMJlZaUuoev2PLVgsAJlM9CQkJ6PV6Dh8+jEajISUlhV9++UWdHT5J8ikuPEyrGpZGCCHcjt7lsnz5cq666ip69epFbGwsRqORgIAA9Ho93bp1Y9KkqzEYDOh0OhwOB14mE3q9Dm9vM/rfJ93TarV4mc0oQM+ePdHpNERG+pOcnExtbS16vR6z2czNN9/M5s2befHFF+nQoYO6B6AJpPgQHkZBQ+u/h10I0fb8efZbq9WKt7c3gwYNYuOmjVitVrZs2cLGLTvw9vHC6XJit9uwVFZitztxOV0E+vmBpmF009raWgA2bdqEwQCFhZVs3boVi8VCdnY2PXr0YOfOnXTq1AmLxcLWrVsZOXJko5lvWyspPoRnURTwgAF0hBBtz9G7XKBh9ltvb2/8gvyY8PgEHF4OfP19qamtYeWK3ZjNZnRaHS+++hJ6gx6tVotBZ6C0pNzdwHt0/peQAD8y+gaj0TQ8d8kll2Aymfjggw9Yv349VquVp556CpvNxm+//eaeG6Y1a/0JhfgDBQWk5UMI0Qr9efbbDh06EBkRyVO3PYW305v0XumEhoSiOKGqsga9Xs/khx7DYXcQHhKCrb6eoOBg9PqGYsRsbhgx1VJTy5LlpSgKJCUlMW/ePBwOB9dddx02m42ysjJee+01UlNT1dz9JpHiQ3ggKT6EEK3P8Wa/ffO1Nxl2yTBGjRpFv1796NevH926dUNRFO68804eeOA+vLy8KCstJdDbm1v6X0Sv9nHotBqU3zvXt++QRFCQER8fIzNmzMBkMuHl5cXdd9+NRqNhxowZlJSUEBoayuHDh9U8BCdM7nYRHkZBI3e7CCFaoaOz38bFxWGz2Rg5ciSLFi2iS+cu1DprWffLOpYtW4bdbkev1zN37lxKy0qx2WwY9DqqrDVMXz6HqioLTgU0irNhBFSDCadLISIigGHDhv1+e66GO+64A71ez/vvv8+MGTPo1asXe/bsITY2Vu1D8Y/kU1x4FkUuuwghWq9rrrmGIUOGUFxcTGpqKsOHD+f84eezZPkSJk6cSL9+/fj000/597//TUBAAC9OeRF/f3+eevh2/vveVC4bP46L+qQRFRZEUFQMaLXkHDjA9M8GcN55qTzxxBNkZWUxevRoKisrueuuu3jmmWdYsmQJu3fvJjExUe1DcEKk+BAeRaH19+IWQrRdf77jZeXKlaSnp5Mcn8wTzzxBYWEhl156KfPnzycsLIz//e9/VFdX88KbM7jx9oe48cYbueuh54kMiqKkqBgvkxeXXXEF9ion7767lNdee43k5GRCQkKAhnFFXnnlFQYMGMBZZ51F+/bt1dz9EyaXXYSHkVtthRCtV3l5OVFRUUDDHS9lZWUATHtzGk8ufZJFTy0ivUc6KA39Qnx9fSktLaUqdydf/jifjz/+mLfffpvbygrIXr8V76gw/MICiYzIZdeuJ0lOfqrR9iIiIpg/f34L7+Wpk+JDeBZFAa0UH0KI1mfZ3iMU23RU7TlM4J5i9u44RJ3WzLeb8wjyMVK8UKFdlx50uaI7+atzueSO67n4rhsB8Nu0hT6xvZj9yZOsmD2PmdOm8+KDj/Hu9wtwltcTm+w4o4ZYlMsuwqPIrbZCiNZk0qRJDBo0iAkTJlBcUUNyWi/ydqyjb7wfrz12F7s3ruLth64lJcBFn9gENGXlzH/kI1b871sorOSm9JEE7K/g2ddnMfH5yfTsfxaJQ3ph07p4/uP32bFjBTt+m0P+wRq1d/W0kuJDeCApPoQQ6vvjcOopKSlsXbGAswf1IyIi4vch0XVkZmbicrmYMWMGV111FT/99BNms5mgoCDy8/MpLy/npZdeIiwsjMLCQp5++mliYmLYsGEDP//8Mw8++CB33HEHyV0Cz6hPPik+hGdRpM+HEKJ1+HPn0gPbNnLwSDWP/Ps5vvjiC0aMGIHRaOTiiy8mNDSUgICGW2V/+OEH5s6dS0REBBEREWRmZrJixQo6depEXFxco21cf/313HXXXWrsXrOS4kN4GBleXQjROvx5OHXFVs3ZXSLILa8l2+7HN3O/xdvbm3/9619cfvnlAJx//vmkpKTQrl07iouLGTFiBEVFRaw6UMLBnDz69c9g9OjRFBQUcLi8lu9/WUTfvn255/a1vPrab2ru7mklxYfwKMoZ1eVKCOHJ/jycenBwMBqNhp7xQaydOwNvX3++XX+QAUNGcO2111JZWcm0adN45ZVXuOOOO9DpDfQaeRGPPP8GmroK7NYaLnlyBs8++yx3P/I4uWV13Dv5aa6bPJW3pvVl29Z88vPzVd7r00OKD+FhpMOpEKJ1ON5w6kcdOHCAvr17EFOyg44RIWRmbuOnBcupq7NxaPtOdu3aS1WtlSgvJwO6JqKtKcXs5cVFPWKp9Ill64a19O8QwtC+PaitrqS+3onT6cLb21ut3T2tpPgQnkX6fAghWomjw6kPGjSIHTt2cOmllzJx4kQAOnbsyPbt27npwUdYtm4t3bt3Y/TAdEb07s6cn35g1arl1FVV8N///oe4uDgefvhhSktLue3KsRRtWUxNZQUAt11/FW88ehu3XLeKHj1iCQwMVG+HTyMpPoRHUVBA5nYRQrQSU6dOZfny5Xz66acYjUamT58OQGRkJPfffz+//rKAJx98AH+TgXqrlfc+/ZxbJk7k/vvvJz8/3z00+rJly5g5cyZOp5N169aRkpICwP3338/SpUuZM2c4Bw4cYefOnWru7mkjn+LC40jLhxCitTt6ScYvOJSdh/O54NLLiUjsgEajQVEUQkNDAQgNDcVisQBw7bXXsnTpUi6++GKGDh0KgEajISgoCK1Og5+fl7uPiaeTEU6FZ1FcSJ8PIURr98dLMvHx8Tz00ENMnDiR6dOnc9VVVzF+/HjmzJmDo66eVy96DGd1PVfffC3FxcW0a9eOd999F4B///vfnHvuuVht++mYFEffvn1V3rPTQ6MoSqu6faCyspKAgAAsFov7FiYhjtqwcTxmcyypXV5VO4oQQpwWll+z8e4WiiHS5y+XWbf+Ivz9upKS8lwLJmuappy/peVDeBi520UIcWbxHxmP5gTGLzqThhqQPh/Cw8jdLkKI4/vjPCt2u939fF1dHWPGjGHIkCHuQb0AXn31VQYMGOAe1Atg8eLF9O/fn0GDBrFs2bIWyX0ihUfD554UH0KoQ5GWDyHEsf48z8qcOXPcr82fP5+uXbuydOlSrr/+embMmEFhYSE//vgjK1as4Nlnn+XZZ58F4LHHHmP+/Pn8/PPP/Pvf/1Zrd46l0fz++XdmkOJDeBQFZHh1IcQx/jzPysqVK92vJSUlUVPTMCtseXk5oaGhZGdnk5qa2jAiac+eLF++HACHw0FgYCA+Pj44HA5KSkpafmeO68z63JM+H8LDSMuHEOJY5eXlREVFAQ3zrJSVlblf69ixIzt37iQ1NRVFUVi3bh1Wq5UNGzZgs9lYvHixe3mTyUROTg4mk4nt27e7ixX1aaTPhxDqkT4fQohjHW+elaNmzZrFwIED2bFjB8888wzPPvssoaGh3H777YwaNYr58+e7B/V68803ueGGG7jzzjvp1q0bkZGRquzPnzV86knxIYQ6zqBrnkKI0+fv5llpyqBevXr1YuHChbz//vtERUXh5+fXsjvSRshlF+FRZHh1IcTxnOigXna7nTvuuIOioiLuvffeYwb1evHFF1mwYAHe3t68/fbbKu/VH5xhHU5lkDHhUdatH4u/X7dWPdCOEKL1ys7OZuvWrfTs2ZOYmBi145ywDRvH4W1uR5cuU9WO8pdkkDFxBlPkbhchxElr164dMTExaLWe1oJ6ZnU4leJDeJaGe23VTiGE8GB6veed+mSQMSFUpCATywkh2iCN5kyqPZpWfEybNo20tDT8/f3x9/enf//+zJ8/H4CysjLuvvtukpOTMZvNxMfHc88997h7FQtxesittkKItujM+txrUttTbGwsL774Ih07dkRRFGbNmsXYsWPZvHkziqKQn5/PK6+8QpcuXcjOzua2224jPz+/0TC3QpwSRTnT/g0KIcQJOnOaPppUfIwZM6bR4+eff55p06axZs0abrrpJr7++mv3ax06dOD555/nmmuuweFweOQ1NtH6KDLCqRCijZIOp4DT6eSrr76ipqaG/v37H3eZo7fb/F3hYbPZsNls7sdHR6hrafX1JeTnz0FRHI1f+MOdFcc29//D4z/dlXHsKfPvlv/ze5u2rWO39DfvP+a9Tdz2P/rnfzAn+o/Kbq84ie0LIYRnUxQnlooNKIoTjUandpxT1uTiY9u2bfTv3x+r1Yqvry9z586lS5cuxyxXUlLCs88+y6233vq365syZQpPP/10U2OcNoqiUFq6mOIjv1BQ8BVGY2ij147zjn9a4zHr//v3//3jfx6Gpanvb+r2T2R7J1sMnNz7fLw7nOT2hBDCMxkNQVgsG8jKepv27e9TO84pa/IgY/X19eTk5GCxWJgzZw4ffPABS5cubVSAVFZWcvbZZxMcHMy8efMwGAx/ub7jtXzExcW12CBjNTUHWLO2YSZEszmBjP4Lm32bQgghRFM4HFXs2jWZ4iPz6Z72AaGhw9SOdIymDDJ2yiOcjhw5kg4dOjB9+nQAqqqqGD16NN7e3vzwww94eXk1aX0tPcJpdfUe1q47j549PiMwsNcZ0ZwlhBDizKMoLrZuu42SkoUE+PcgNvZawsPPRav96y/4LalFRzh1uVzulovKykpGjx6NyWRi3rx5TS48WsqevU9RUrIEULBaDwOg1Rqk8BBCCNFqaTRaUru8yvYd91NauhjLzs3s2Hk/I4YfUDtakzWp+Jg8eTLnnnsu8fHxVFVVMXv2bJYsWcKCBQuorKxk1KhR1NbW8sknn1BZWenuPBoWFoZO13pO7GVlKzEaQwgO6g8aLTqdD35+x/ZbEUIIIVoTvd6P9O4fkF8wh127JgGQl/cZMTFXqpysaZpUfBQXF3PttddSUFBAQEAAaWlpLFiwgLPPPpslS5awdu1aAJKSkhq9Lysri4SEhNMW+lS4XDbs9grCw0bTocNDascRQgghmiw66jICA3qxes1Idu95gujo8Wg8aMbvNjWrbX19KctXnAVAt67vEh5+zmldvxBCCNGS9u17gZzcGQAMG7pb1f4fTTl/e06ZdBrk5H7o/v1Iya8qJhFCCCFOXceOj3F02ILy8lXqhmmCNlV8JCbcRY/0/+Hv3wOHo1rtOEIIcVpNmjSJQYMGMWHCBOx2u/v5uro6xowZw5AhQxgxYgRFRUUAvPrqqwwYMIDRo0dTUFAAwFtvvUVCQgKXXXaZKvsgmi4treFu0wrLRpWTnLg2Nea5Tmcm9/AsKis3Exo6Qu04Qghx2nTr1o3t27cDsGrVKg4cOMDSpUupqqoiMTHRfQOARqOhd+/edOrUiUWLFrnfn5qayqhRo5gzZw5Op5Ps7Gy0Wi2PPPIIL774oir7JE5M2O/ns0OH3iUkeDCBgb1VTvTP2lTLh8vloKSkYRCxxIS7VE4jhBCnx9ixY9m5cycGg4GIiAhCQ0M5cOAAs2fPpk+fPtTW1qLX60lNTcXf35/y8nJ34XH0OYvFwvfff4+XlxcDBgxAp9O5h01wOp0q76H4Ow5Hjft3X99kFZOcuDZWfFjdv3t7J6qYRAghTo/MzEwyMzMJCAggICCA1NRUtFottbW1fP7556SlpREdHY1Go2HXrl1UV1fjdDrx8/NDp9NhtVqx2Wy4XC70ej1xcXHMnDkTRVEICAggLi6uVQ2VII71x06mer2fiklOXJsqPnbuetj9u91uUTGJEEKcHqtWrcLX1xeNRoO3tzdVVVXuYkKj0RAWFsaRI0ew2+24XC6cTicul4vAwECcTicHDhxwDxRpt9vZs2cPaWlpQMPwCqmpqWrunjgBuYdnAeDvl6ZykhPXpoqP8LBzAYiIGIPBEKByGiGEOHXl5eUEBgZiNpuprq6mrKzM3bIRHx/PvHnzsFqtaLVazjrrLAIDA3E4HJSXl6PX69H8ceZujYYnnngCu92Ooih0796dJUuWuDujitZJr2+4rbXOmqtykhPXpoqPyMgLCQ87l6Ki79m85Tq14wghxCkLDAwkLS2N+vp66urqyMrKwm63065dO5YsWUJoaCjR0dEYjUa2bt1KVXUVfl4GrFYrOp0Os9mMwWBAq9Xi6+vLZ599hp+fHxqNhkOHDuHr69tqp8oQDaKjxgFgt5ezfsNlbN9xH05nncqp/l6bKj4UxUVZ+QoAoqLkNjIhhOfLyMigurqadu3aYbVa3ZdWdu3aRUVFBV5eXtTW1mK1WhtedzgJ9A4jOiyM+vp6amtrcTgchIWF4evry6FDh6ioqMDlchEXF8cVV1xBUFCQ2rsp/oZGo6F/v0UEBvShsnIzRUXfs2RpVyqrtqsd7S+1qeJDo9ESE3M1Wq0RFKXVV4ZCCPFP0tPTiYiIwMvLiyuvvBKbzcb1119PZWUle/bsITQ0lG5paUR2SufxjxaQ/8tSUqPCaZ+czHXXXUdNTQ0ul4vMzEw6derEWWedxZNPPomiKGzdupU77rhD7V0UJ8Dbux29en1OTMxV7ue8TFEqJvp7bWp4dWi4JWnHzgcoKVmE2RxPYsKdBAVn4GWKPO3bEkKI1uDAkWqqrA7S4wLVjiKaWXn5GjZtvtr9uCVnvG3K+bvNFR9H1dQcYO++ZykrW45GYyA+7ka8vRMxGkMJCOiFwdB82xZCCCGai9NpY8nShpnaBw5Yg8kU1iLbleKjCay2QnKy/0tB4bc4HBUAGI2htIufSHT0ePR6n2bPIIQQQpxOBYXfsnPngwCkdnmNyMixzb5NmViuCbxMkXTq9C+GDN7IsKG76Nf3FwICerFv//NkZb2pdjwhhBCiyaIiL3L/XlA4V70gf6HNFx9/pNUa8fHpQFq394iKvIS8/M/YuWsSDkeV2tGEEEKIE/bHGyrSur2vYpLjk+LjL3Ts+BhxsddRWPgty5b3oqDgG7UjCSGEECdEURzo9YEAHDgwFZutSN1AfyLFx18wGILo0OEh+vT+htDQs9m56xHy879SO5YQQgjxj/R6PzL6/0ZI8GByD3/Exo1XqB2pESk+/oGfXyrdur5NTMyV7Nr9KLm5s2hlfXSFEEKIYxgMQaSnz8TsFU+dNYecnBlqR3KT4uMEaDRakjs9Q2zstezd9wwHDr6Cy2VXO5YQQgjxjxLb3wtASckiNm++jrKylSonAr3aATyFRqOhU8d/U1eXQ3b2+xQWfktiwt1ERV3aaDpjIYQQojUJDRmGXh9IecUaAGrrshmQsUTVTNLy0QQajYauqW+Q3n0mvr6d2b3ncVaszGDvvuelJUQIIUSrZDAEkNF/Id26vgdAu/hbVE4kLR9Nptf7ERIymJCQwVRV76agYA65uR9SWPgtnVOeJyxslNoRhRBCiEYMhkC2bW+Yp8fLHKNyGmn5OCV+vil06vgEvXp+ga9vCtt33Ed19R61YwkhhBDH8PZOBGD79ntRFJeqWaT4OA0CA3uT1m0aen0AWYfeUTuOEEIIcYzuaf8FwOms5kjJr6pmkeLjNNHrfQkKPIvi4p/Izp6O01mrdiQhhBACgNraLFavGQmATueNj3cHVfNI8XEade78IqGhIzhw8A2WLO1G1qF31Y4khBBCABr3b+ndZ+Ljk6RiFik+Tiudzkz3tP9wVp/vADh48DU2bb5G5oYRQgihKrM5ng7tG2a5PXDgFZXTSPHRLHx9OzFgwEp8fbtQXr6apcvS2b//JbVjCSGEaLM0HMqeDoDZHKdyFik+mo2XKZK+Z31Pz56fA5Cd8x8qKjaonEoIIURbZLMV4nRWA9C5s/pfhqX4aGZBgX1ITGwY2nbjpvEsXNSBnTsfxmLZrHIyIYQ4NX379iUgIAC9Xo9Wq8XX1xeLxUJZWRkRERH4+/uj0WjQarUYDAYGDx6Mr68vWq0WrVaLTqfD29ubhIQEvL29MZlMGAwGtFotW7ZsUXv3zigmU6T7d41G/VO/DDLWAhIT7iYkeCDl5Ws5cPAVCgq/oaDwG0JDR1JS8hvxcTfRocMjaLXy5xBCeIYvv/ySLVu2YLfbURQFPz8/QkNDGTduHCUlJRQXF7uX1Wq1pKamsnz58kbr8PPzo66ujry8PBwOBxqNBoPBgEajobZW7hg8nSyWjQDodL4qJ2mgfvnTBmg0GgICepKQcDsDB6whImIMsbHXUVKyEICc3BksXpJMcfHPqg/8IoQQJ+KNN97A6XS6Z/murq4mJCSENWvWUFhY2GhZRVHYvXs30FCIHFVVVYXT6cTpdLqXO9oCEhwc3EJ7cuarqTnIxk3jAeje/QOV0zTQKK1sfvjKykoCAgKwWCz4+/urHafZVVXtoqTkNw5mveF+LqP/YszmePVCCSHEPwgJCaGyshKAgIAASktLCQ4OpqqqisGDB7Nw4cITXpdG03Ab6NHTUWhoKEeOHDn9oduohYsaxvSIibmKlORnm207TTl/S8uHyvz8OpOYeDdn9fmBmJhrAFi1ehh5eZ+hKE6V0wkhxPHZ7Q2TaXp7e6PXN1wyrq6uRq/XN7rkclT79u2Pec5sNgMQHBzMH78H+/j4MH/+/OaI3aYld3pG7QhuUny0En5+nUlJfprU1DcA2L3nCRYt7sSGDZdRX1+mbjghhPiTwMBAnE4n4eHhFBUVodVqcTgctGvXjry8vGOWL6+wAKDT6RqtA6C0tNT9nEajoaCggEWLFjXvDrQBLpedgoK5AAQFZbhbmFoDKT5amciIMQwcsAadzpewsNFYKjdz+PDHascSQohGRo5sGKp7//79ALhcLlwuF++//z5lZcd+YSovK8UrsHFnx8LCQvz9/dHpdO6+IEc7nT77bPNdHmgLFEVh69Zb2bnrIUJDR9A9bbrakRqR4qMVMpnCGDokk7Ru7xEWNoqsQ29x4MCrVFZuVTuaEEIAcM899zS6rm82m4mMjOS2225j4MCBx3zL9k7oClaH+/KKl5cX8+bNc1++cblc6HQ6zGYz7733Hl5eXi23M2egmtr9lJYtIzh4EN3T/oNO5612pEak+Gjl2sVPxNe3C4ey32P9houpqt6tdiQhhCA9PZ1bbrmFmJgYwsLCGDt2LOeffz6DBw/mhx9+YNiwYQQFBeHv60P35Ei+mtiRLl260LdvX/z8/Ni7dy8XXHAB3377LSkpKfj5+REWFsbIkSMZN26c2rvn0SoqNrB27TkA+Pt3VznN8cndLh6itjaLTZsnoEFDRsayVnXtTgghROuxdt0FVFfvIjzsXFJSnsdgCGiR7crdLmcgb+9EAgN6YbXls3v3Y2rHEUII0Qq5XHaqq3cBEBd/Q4sVHk0lxYcHSU5+CoD8gi/VDSKEEOK0mzRpEoMGDWLChAnuvjAAdXV1jBkzhiFDhjBixAiKiooAePXVVxkwYACjR4+moKAAgFWr1vLgA3buuTuP+++boMp+nAgpPjyIwRCEv3939Hq5HCWEEGeSzMxM8vLyWL58OSkpKcyZM8f92vz58+natStLly7l+uuvZ8aMGRQWFvLjjz+yYsUKnn32WffdQS+//DIzZ37AW2/HsH37EfLz89Xapb8lxYeHCQrqj8NRSXn5GrWjCCGEOE1WrVrFqFGjADjnnHNYuXKl+7WkpCRqamoAKC8vJzQ0lOzsbFJTU9FoNPTs2dM9b06XLl1Yt/5hnE6Fens13t6t6y6Xo2QmMw8THJRBdvb75B6ehb9/Wqu7fUoIIUTTffbZZ5SUlPDrr7/y2GOPUVZWxqRJk1i+fDnZ2dnU1NQwY8YMYmJiWLlyJQMHDmT//v18+umnPPfcc5SVlTFmzBh++20BVqsds1nDnXfeQWFhIeeffz46nY7ExEQ++uijVnHDgrR8eBhvnw6YveI5cuQXli3vo3YcIYQQp+iGG25g8+bNBAUF0bFjR7755htcLhfZ2dnU19dTVlaG0WjkpZdeIj09neTkZLKzs4mPi6e6uppnnnkGo9HIL7/8glbrYMQIHxTFxN69uTz33HP8+9//ZtmyZej1elavXq327gLS8uFxvEyR9Ou3gMVLOuNyWbFYthAQkK52LCGEECchMzOTHTt28Mgjj/Diiy+yceNG7HY7wcHBhISE0K9fPxwOB9u3b+fee+9DUVyYvcxoNTrOzhjLFz98RFFREQaDAYPBQH19PRs21GK1Kvz4449ERUXx9ddfs2bNGiorK1vNbMEyzoeHqq7ey4aNl+J01tKt63uEh49WO5IQQogmmDRpEm+++SY2mw2tVouiKGi1WpxOJ/7+/u5Zg0+GTgdOJ6xYsYJhw4bRvn17evbsyezZs0/jHjQm43y0Ab6+nRg4oKHT6bbtd2CxbFI5kRBCiBOVmZnJp59+isPhwGg0otfrMRgMRERE4OfnR2VlJXq9vlH/DC9Tw5DzOp2u0QR90DBc/dFltdqGwkOvh/vvv59LL72U3bt3Exwc3GpmC5biw4Pp9T50TpkCwIaNl1NWtvIf3iGEEG1HdHQ0Go0GjUaDl5cXV155JXa7nby8PIxGo/s1nU5Hv3796Ny5s/s5rVZLYmIivr6+7ueOPj9w4ECsVuspZfvyyy/ds/k6HA7q6+upr693j9dx9Pk/Xpyw2hq26XQ6cTqdjdZntVrdy7pcR98PmzZtonPnzoSFhfGf//yHCRMmMHXq1FPKfjpI8eHhoqPHMWxow2h2WVlvq5xGCCFah5dffpmysjJ38VBfX8+vv/7K559/zp133onBYMDb2xuNRoPL5SIzM5Pdu3e7Ww8URSEnJ4e6ujrOOusskpOTMZvNAISEhJzyxHdHb6U1GAyNWjcURaGuru6U1n2UwaDB6XTyzDPPUFJSgpeXFz4+Plx99dWnZf2nQoqPM4BWa6R9+weosKzHaitUO44QQqjuyy+/xNvbG7vdjkajQVEULBYL//vf/xg0aBA2m43a2lp3a0F9ff0xt6C6fm9CWLduHXv27KGurg5FUSgpKTnlfGVlZWi12mOKD2ho8Tgd7HYFX19fYmNjCQgIoEuXLuTn57N27drTsv5TIcXHGaKmZj8AFstmlZMIIYT6LBYLNpsNu93u7h/hdDrZvn07aWlpx1y2gIZWhz/fgxEcHEx4eDha7f+fLjMzM5k3b94p5QsODsbpdGK3209bsXE81dXVZGdnU11dTXFxMWFhYTz33HPNtr0T1aTiY9q0aaSlpeHv74+/vz/9+/dv1HnFarVy5513EhISgq+vL5deeql7DHrRvI4WHd7mBHWDCCFEK+Dv7099fT0A8fHx7gKkrq6Om2++uVExAQ2tHMcbfKusrIy4uDj3a0ajEUVR2L59+ynly8jIAMBms53Sek7U0T4rvr6+2O324xZfLalJxUdsbKz7PuQNGzYwfPhwxo4dy44dO4CGXrXff/89X331FUuXLiU/P59LLrmkWYKLxgyGQAAczmp1gwghRCswbtw4d4fNnJwcdwdTs9mMw+E4pviAhv4XWq3W3bfjKKfT6b4EU19fj16vx2QynXI+X1/fU1pHU/j4+LB3715qa2uprKw85m6ZFqecoqCgIOWDDz5QKioqFIPBoHz11Vfu13bt2qUAyurVq094fRaLRQEUi8VyqtHalLXrxii/LeygOJ12taMIIUSrYDAYFEABFI1GowCK2WxWevTo4X7+/1/nmOf+6sdoNCpz5sw55XzXXnvtCW/zVH80Go3i6+urmEwm5a233joNR/dYTTl/n3SfD6fTyeeff05NTQ39+/d3j8o2cuRI9zIpKSnEx8f/7XCuNpuNysrKRj+i6TToAAWNRuVqVgghWomHHnqIsLAwzGYzJpMJX19f+vXrR2JiIvHx8Xh7e6PX69FptWg1elLS+hEcGgaAXq9332576623kp6ejk6nw8fHh06dOtGxY8dTzjdr1iwCAwNPeT3/xGw24+PjQ/fu3bnmmmu46667mn2b/6TJxce2bdvw9fXFZDJx2223MXfuXLp06UJhYSFGo/GYAxkREUFh4V/fgTFlyhQCAgLcP3FxcU3eCQFabUMTYGHht+oGEUKIVmLcuHGEhYURHByMVqulW7dutG/fntDQUNq3b4/L5UKr1WLUa9FpYeTYZDp3TcbLywtFUfDz8+ORRx4hMTGRQ4cOYTKZSElJ4aKLLiItLe20ZLz44ovR65t3ppO6ujrMZjOTJk3igw8+aBUTyzV5j5OTk9myZQsWi4U5c+Zw3XXXsXTp0pMOMHnyZB544AH348rKSilATkJi4j1s3jKB3MMziYq6WO04QgihuvT0dM477zzWrFnDkCFDmDlzJnfffTfTp0/HYrEwfvx4rFYrtbUFPPX0OYR3u5Aje/+Lsb+Bdu3a8e6777qnpJ83bx7fffcdYWFhpzXjPffcw7x58ygrKzvmTpvTJTExkUsuuYQxY8Y0y/pPxinP7TJy5Eg6dOjA+PHjGTFiBOXl5Y1aP9q1a8d9993H/ffff0Lrk7ldTo7LZWfxkhQAhg7ZgU53agPgCCFEW+FyObDZ8jGb41XZ/sMPP8yaNWuIj4/nvPPO44YbbiA8PJzi4mL0ej0BAQE47C46xEeyY+9ebPVO7A4HGjTMfvd9bnnkAfz8nBQW1qEouFtldu3a5R6+vWPHjqxYsYKAgIBm248WndvF5XJhs9no1asXBoOBhQsXul/bs2cPOTk59O/f/1Q3I/6BVmvAx6cTAPsPvKxyGs+mKAqFhfPIzvmAwqLvsVoLmu0biRBCfVqtXrXCA2Dq1KksX76cTz/9lKuvvpru3btTVVVFdHQ0xcXFBAYG8vS4z3ng+jcxGr3x9vbGz8eXG198mkHDR+Hrq6eiwoqvrzfPP/88mZmZTJ48mbPOOovAwEAiIiLIzMxs1sKjqZrU8jF58mTOPfdc4uPjqaqqYvbs2bz00kssWLCAs88+m9tvv52ffvqJjz76CH9/f+6++24AVq1adcKBpOXj5CmKk8VLuqAoDkJChpDe/UO1I3mkrKx3OJj1eqPn/HxT8fHtRGTEhYSEDFYpmRCiraqx2DiSU0V8aghabUOfDYejiv0HXiYvbzbxcTfRseNjqmZstpaP4uJirr32WpKTkxkxYgTr1693Fx4Ar7/+OhdccAGXXnopgwcPJjIykm+++ebk90Q0iUajY8jgLQCUli6lpuaguoE8kNVawMGsNwgJGUpG/6V06dwwAVNV9Q4KC+eyJfMG8vPn4HTWAg2Xu2pqDpCf/xX797/sHt7e5arHYtlEaekyyivW/+02nU4bhYXzcDiqmnfnhGilJk2axKBBg5gwYQJ2u939fF1dHWPGjGHIkCGMGDHCPWjlq6++yoABAxg9erR7Ira33nqLhIQELrvsMlX2obn5BJhI6BbqLjzKylayes3ZFBZ+R3KnZ0hKmqxywqY55T4fp5u0fJy6/II57No1CYDhw/ah0cgo+n/mcFRht5eTl/c5VdU7CQ0Zir9/d/Lzv6Sw6DsGDVyLXu/nXl5RFKqqtpF16F1KSn5DozHg5RVDXd2hE9peUFB/QkNH4OvTCX//NFyuhpEXq2v2smPHA9TXFxMffzO+PikUF/9EQsIdGI3heHlFt4qe6UI0l8zMTKZOnconn3zC888/T/v27bnyyisB+Oabb1i/fj1Tpkzh448/Jjc3lxtvvJGrrrqKhQsXsn79ej766CPee+89iouLqaqqYtKkScyZM0flvWp+mzZPoLx8Nf36LsDHp4PacYCmnb+b9/4eoYroqMvQ6bzZvv1uDhx4haSkR9SOpLoKy0Z0Wi/qrIfJyfkAi2VTo9fLypa7f/fyim1UeEDD0MT+/ml0T5tOVdVOio8soK4uB2/vdnibE/Hx6Yje4E9h4XeYzfGYvWIxmsLYvfsJHA4L5eWrKS//6/FuAHJyPnD/XlK6CICuXd8mIvy8U919IVqtVatWMWrUKADOOeccZs6c6S4+kpKSWLJkCQDl5eWEhoaSnZ1NamoqGo2Gnj17ctNNNwEQHh5ObW2tKvughpjo8VRUrGPb9rs4q8/3aLWedTr3rLTihIWHnQtAds50EhPvadN3vxQfWcC2bXe4HxsMIQCYTJF0aP8gkZEX43TWYLFsorJqG9FRf99s6+fXBT+/Lsd97c+Fwh8f2+2VFBV9j8Nhoc6ah07rRVT05SiKg9qaA9TV5RAYeBYVFevdfU4qLVuk+DiNJk2axKpVq0hISODDDz/EYDAADc373bp148iRI3h7e7N+/XpiY2N59dVX+eqrrzh48CBJSUkMGDCAI0eOsGPHDnx8fDj//PN5+OGHVd4rz1ZeXk5UVBQAAQEBlJWVuV/r2LEjO3fuJDU1FUVRWLduHVarlQ0bNmCz2Vi8eHGj5duSiIgLsNst7Nn7bzIzb6J79xkeVYB4TlLRJBqNBj+/VKqqdrB9x710T5uudiTV5OZ+hFZrIq3bdLRaA4GBfX9/xeUeEVav9yUkZHCzdiY1GPyJjb36uK/5+3V1/x4U1JeEhDvZsOEScnJnEBo6kqCgs5otV1txww038MknnwCwfft2Pv30U66//nrq6upIT0/nwIED6HQ6amtrufnmm+nbty8vvPACDocDg8GAyWSipqaGBQsWUFRUhNFoZMCAASrvlecLDAx0j2xtsVgIDg52vzZr1iwGDhzIk/9+ki8+/JSnHnyCF6e8yO23386oUaNIT08nJSVFreiqi429GpMpjG3b7yIr6w06dHhI7UgnTDoDnMHSu38EQEnJbyiKujMYqqW0dBkVFeuIiBhDSMgggoL6uWd3bM1D0Ws0Gnr0aDhRbtp8Jdu330tp6TKVU3muG264gY8++giHw+GexvzVV1+lrq6Ofv36sXfvXqBh2ghFUViyZAnPPvtso6nOly5dyn/+8x8KCwtRFAWbzcZLL72E1WpVa7fOCBkZGfz2228ALFiwoFFBpygKoaGhKHYXAU5vqlx1OI7Ucu2117J06VIuvvhihg4dqlLy1iEsbBQJ7e4gO+cDHI4ateOcMGn5OIMZjcG0i59Ids50Fi3uRGLivbRPvEftWC2mvGI9WzJvAKBjkrq3oJ0Mvd6HuLgbyc//kuIj8ykq/oHw8POIjhpHSMggteN5jMzMTPfJTavVotPpsNvtHDx4kPnz5x/TbH90BtOjffG9vLzcBUZoaChFRUV4eTVcxjza9H/uuee24B6dWdLT04mIiGDQoEHEx8fz0EMPMXHiRKZPn85VV13F+HHj+fy9/0GgkQ8/+hDQcMUVV1BcXOwehRTg888/55133mHfvn2MHDmSX3755bgz17YWdns5FssWQkIG/+MXIau1gNLSpVTX7DnmNYMhCH//7iiKnYqKdYSGDmuuyKeV3O3SBuw/8ArZ2dMAiIy8mPaJ92M2x6icqnlZrQWsWj0URXEwZPCWYzqQehJFcbJ23fnU1OwDICCgN717faFyKs8xbdo0Jk2aRHV1NUlJSVRVVVFYWIjBYGDDhg1cfvnl7paPo4xGI/X19e7/HqXRaFAUBZ1Oh0ajwel08uWXX56xt3e2FtVrC6jdXIzf0Dj0IV4YwrxPeZ1/1/9n3LhxVFZWotfrmT17NhEREbz66qt88803+Pr68tFHHxEVFcXEiRPZs6ehIFi7di35+fkEBQWd0PYXLmq4QyUm+kpSUp47dp+r91BU9AMlJQt/Lzq0eHu3R/uHQkXBhc1WjKI4cDprVB/rQ+52EY0kdXiI9on3kpf/GVlZ71BU9COpXV4hIuJ8taM1m+yc/6AoDoKDBnh04QEN47fo9f8/MqG1LlfFNJ6nvLwcu92OTqejoqLC/aGo1+vp2LEjdXV1x7zH4XCg1WobFR4A3t7ejBw5ku+++w5oKFKSk5ObfyfaOK+kQMypIeh8jadlfZmZmeTl5ZGRkcEXX3zB8OHDWbRoEQaDgfnz55OcnMyePXvYt28fGRkZfPvtt/z4449cfPHFfPzxx/Tt25e1a9cyffp0Jk6cSGZmJl5eXkRHR59wAWIwBGG3l8Mfiona2myKin+gqOh7amr2odcHEBo6nISEOwgOHojBEHjMehyOKrJzPqDSsoWAgF6n5fi0BCk+2git1kBc7LVERV7K5i3XsX3HPZSWLaPeVkxw8CCioi7GYDixir21s1i2cPjw/wBIT5+lcprTo1u3dyktWcy+/S9gqy+itHQpPj4d8fKKVjtaqxcYGIher8fpdFJZWUlFRQXQMNnWqFGjsFgsx7xHo9PjtNcf87yfn5+78NBoNBgMBhmHpQXoQ8yndX2rVq0iJSWFN954g8rKSnJyckhISCAxMZHAwEDq6upYvXo1NpsNl8tF7969CQgIYPny5Wg0Gux2O506dXJ3dj148CAVFRUYjUa2bdvG4MH/3HE9od3t7Nv/Ag6HhZycDykq+p7Kqq3odN6Eho4kqcMjBAcPRKv9+4JLr/ejQ/sTmzutNWm9F8REs9DrfejV81M6dHiE4uKfKC1bxr79z7N8RV/27nseh6Na7Yin7OjcNr17zTljTgwmYyhRUZdhNDbcJrwl80ZWrhpEQcFclZO1fhkZGQQGBuJ0Oqmvr8dut6PRaAgLC2P//v1otVq0Wm2j/1eSukS4OyYfNXLkSOLj493PKYqCwWCgutrz/820NeXl5SxZsgSn08m5556LwWCgoKDg947ePdi4cSM2m43AwEB8fHxwOByUl5fjcrkICQnBaDRSXV1NYWEhVVVVVFRUEBAQgMvl4oILLuDtt9/+2+1bbYXkF3wFQFHR9+w/MBWTVyRdU99i0MB1dE19ndDQ4f9YeHgyaflog7RaEwntJhIXex0ajQartZCCgjkcyn6Pw4c/YeiQLWi1JrVjnhSns46KirV4eycSENBD7TinlUajoe9Z8wEFm62IvfueY+euh8g9PBMf744EBPYiOupSj/3bNZf09HSGDx/Oxx9/7O5EGhoaypYtW7j44otZtmyZuzUEwGQ0E2Pw4qBe7x7qOzAwEKPRyMaNG93r0Ol0DBw4kL59+x6zTdG6BQYGsmfPHiIjI4mOjsZoNLpbNLZu3UpISAj19fXU1tZis9kIDQ3Fz8+Pgwcbpqw42pHVaDRSXFyMy+UiODiYgIAAIiIieOedd7jjjjvQ6f7/kordbqG4eD6FRfOoqFiHVmvAZIqkffv7CQ8b7fGXh5tKio827OjAY97e7Wjf/gEqKtZTYVlPYeF3REePUzndydl/4CUA2ifep26QZqLVNnSKM5vj6Nb1LbJzPqCqaie1tQcpLPqWmpp9JHd6UuWUrc+sWbMIDw93T1s+c+ZM7r77bqZPn47FYmH8+PHUlpZSWVzEiAkjeXjcOdz3wjeN7qjw9vbml19+4V//+hcGg4GUlBT++9//njGta21JRkYGlZWV+Pj4sHHjRkJCQigoKCAwMJCCggLq6+vdM7YD7lYPgLKyMvT6hlNnbW0tFovF3RG5qKiIsrIy+vTpg06nQ1FclJWtIC//M0pKFqMoToKDMujc+cU2WXD8kdztItycTisbN42jqmoHiQl30779fWpHarJduyaTX/AlAwesxmQKVztOizqY9TZZWW/Qu9fXBASkqx3HIy0tq0JBYWiwfPac6RISEsjLyyMqKgqdTkdeXh7jxo2jsLCQZcuWoSgKYWG+WCrrqautw2AwYDabGxUb3t7e1NbWultOnE4nGo2Ghx++h1tv7Uhe3ufUWXPw9U0hKuoyIsIvwGQKU3vXm01Tzt9SfIhGHI4ali5Lcz9O7fIaEREXesS3O0VxsWhxRwC6p33gMfe7ny4ul531Gy7Bas2nR/pM/P3T/vlNQrRRX3zxBTfffLP7sclkIjEx8fcWC4Vdu3ZhMhmoqq5CZ/Ci71l9ObBvLw6HA5PJRHFxMcnJyezatQuXy0V8fDz5+fn07JlGUdFGnn0uktTUy4mNuQp//x4e8Rl6qppy/pYOp6IRvd7n93ExAgHYsfMB1qw9h/LyNeoG+wfl5WvchUdE+AVtrvCAhksyad3eRas1sH7DxaxZey4Fhd+iKC61ownR6owfP56UlBSsViu1tbXufkCHDh3i008/xWazUVZWgc1qp66+mqy9mRw+fJji4mIKCwsJCQnB4XAQFBREZGQkeXl5REdHM2PGTMze3nh7+9Ol81QCAnq2icKjqaT4EMfQ6/0YMngjI4YfoFOnp6irO8SmzVezYeM4CgvnUVW1A5utWO2YjRQV/whAt67v0qXLKyqnUY/ZHM+AjOV06/oeWo2BnTsfZP36i6ipOah2NCFanfXr12O323nggQcICwtj3Lhx5OTkMHXq1N+LjzJGjx7NoLMyiA4KZe0bb2C327nwwgvp0KEDPXv2ZN++fRw6dIgJEyYQHR3NddfdwJgLeuLvLx2//45cdhH/yOVyUFK6kNzcWVRUrG30mq9vFwIDe+NliiQ4eCB+fqmq5Fu5agA6nTcZ/Re3+PZbK0VxUla2it17/oVWayAx4e6Gv5WMDSLEaaUoCnn5n1FaugSns47y8lWkJD9HTMyVakdrUdLnQzQbqzWf+voSysvXUF29h7q6bKqqd+ByNQzIlJr6BpERY1o0U11dHqtWDwY0DBm8uU33ID+eCstG9u17gcrKLQB0TnmR6OjL1Q0lxBnCbi9ny5Ybqazaiq9vCiZjOBGRY4mKvEjtaC1OhlcXzcbLKxovr+hjOjMeOfIrW7fdxo4d91FXl0Niwp0tlqm29uglBYXi4p/lxPongQG96NP7ayyWTWzJvJldux/FxyfpjBsHRYiWZLMVk5v7EYfzPsXprKZD+wdJSLhD7VgeQ1o+xGmhKApZWW+SdahhZL/IyIsIDzuHkJCGYYZP98BXtvoSsrLeoqDgG1yuhrk5goIySE19HZMx9LRu60xitRWycuUAAvx70Lv3HLXjCOFxamuzyM75LwUFc9FqjcTGXEV8/M3u0YfbMmn5EC1Oo9HQvv19tGs3kb37nqO0ZDGFhd8efRU/v1QcjipiYycQH3fDKW/v4MHXyc//HKMxHG/vNJI6PCzf5E+AlykSX9/OWCo3k5f3OTExV6gdSQiPYLXmc+DAqxQWfYfRGEL7xHuJibkKg0G+JJ8MafkQzaaqahdVVTuos+ZSU7OfI0d+BiA2ZgKdOv0LzR9mc2yKktIlZGbeRHj4eXRNfUtuY2ui6pp97Nz5EFVV24mKupz4uBvw9ZWZWYU4HoejikPZ75Ob+yF6vT+JCfcQFXUZOp3czfJn0uFUtEoul53de56goGAORmMoZ/WZh8kUccLvt9mK2brtNiorMwEYMGAlXqbI5op7RnO56snJ+YC8vM+wOyrp3+/XNjcirBB/p6pqB4fzZlNUNA9FcREffzPt4m9Br/dVO1qrJcWHaNV27HiAwqKGacmTkh4lPu5mHI4q6uuL8fFJOu57XC4bi5d0AaBd/ERiY6+RW0ZPA7u9guUr+tGx4+PExU5QO44QrcLRzyiTKZLo6CuIiR4vxfkJkD4folXr0mUqfv7d2LfvOfbvf5H9+190vxYaOoLuaf855j1V1bsB8PdPJynpkRbLeqYzGALx9+9GRcU6KT6EAOrryygq/pGAgJ707PEZWq2cJpuDHFXR4jQaHfFxNxAdNY6Cwq/JyfkQqzUXgJKShSxc1IGoqMvxMkVhNIbg7dOBQ4feBaBzyhQ1o5+RggL7kZf/hdoxhFBdecV6duy4H73en66pb0rh0YzkyArV6PU+xMVeS1zstUBDn45168dQX19CQcFXxywfEXEhvr6dWjrmGc9kisRuL8XlqkerNaodR4gWpygKhw/PYu++5wkM7E1ql1flsm4zk+JDtBomUzgZ/RdTX1+CVueNyRhKXV0uVdU78ffvjsl44p1TxYk7OkhbTc0+VYbHF0JNTmcd+/a/QF7ebOLjbiIpadJJ34knTpx0OBWijbPVl7BiRV8A4uNvoWPSoyonEqL5KYpCaekS9ux9mvr6Ijp1fFLGvTlFTTl/y6y2QrRxJmMoXTo3zASck/NfbLYjKicSonnV1mazcdM4MrfejNkrhr5n/SSFRwuT4kMIQVTUxfTu1dDPZsPGy7Fa81VOJMTppygKVVU72Lb9LqzWAtK7f0SPHp/g7Z2odrQ2R/p8CCEACAjoSUzMVeTlzWb79nvo1esrGT1WeDy7vZzc3P9RWrYUqzWP+voSTKYo0rq9d8wEmaLlSPEhhHBLSX4Wvd6f7Oz3cTgsGAyBakcS4qRU1+wjP/9L8vM/R1FchIeNJjh4IIGBZxEUeJbc2aUyKT6EEI0EB2WQnf0+27ffQ48e/1M7jhAnTFFclJQsYuu2iQDo9f7Exd1AXOx1MutsKyPFhxCikeDgAURHjaOw6Hu1owhxQpzOWvILviY3dyZ1ddl4eycSGTGW+PhbZQK4VkqKDyHEMby9E1GUepzOOnQ6s9pxhDguq7WAw4c/Ji//M5zOGsLCziG1y2sEBKSrHU38Ayk+hBDHCAkZyoGDr7Bq9VCio6+gfeJ90vlUtBqVlVvJyZ1JcfFPaLVexMRcQVzsdTIqqQeR4kMIcQxf30706f0t27bfyaFD7xAY2IeQ4IFqxxJtmNNpo6TkNw7nfUJFxTq8vOJISnqU6KjLZZp7DyQjnAoh/lJd3WE2bhyHrb6I+Pib6Zg0We1Iog1RFAVL5SYKC+ZSVPwjDkclAQG9iY+7kbCwkTIMeivTlPO3tHwIIf6S2RxL//6LWbK0CzZbsdpxRBtRV5dHYeFcCgrnUld3CJMpitiYa4iMvBgfn/ZqxxOngRQfQoi/pdOZ8PNLpbx8Dfn5cwgOzpBr6+K0czqtHDnyC/kFX1FevgqdzpuwsNGkJD9LUFA/NBoZkPtMIpddhBD/qLY2m02br8JmK0SjMTBk8BZ0Oi+1Y4kzQHX1Hg7nfUpR0TwcjioCA88iKupSwsPORa/3UTueaAK57CKEOK28vdvRqeO/2Lb9TkymcCk8xClRFIXy8lVk5/yXsrLlmIwRxMZcQ1TUpTLPShshxYcQ4oSEh59DVNRlFBfPVzuK8GBlZSvZf2AqVVXb8PXtQmqX1wgPPw+t1qB2NNGCpPgQQpwwm60Inc4bRVFk3A/RZCWlS8jMvAl/vzR6pP+PoKAM+f+ojZIePEKIExYZMZb6+iMcPixzvogTV1a2inXrLyQz8yYCA/vSq9dXBAcPkMKjDZOWDyHECYuKupjKqq3s2/8i/v7dZRhr8Y+s1gIyt96En28qqV1eJyLifBmfQ0jLhxCiaTomPYrBEEjWobfVjiJaMUVRqKzcxtZtE9FqvenefQaRkRdK4SEAafkQQjSRVmvC7BVDVdUOHI4q9Ho/tSOJVsRut1BY9B35+V9SXb0Lszmenj3+h8EQoHY00YpI8SGEaLLk5KfZtPka1qw9h8DAPqR2eV2u37dx1TX7yM6eTnHxjyiKi9DQ4XRo/yDBwYPQauVUIxqT/yOEEE3m55dK715fsWfvUxQVfY+fX1fiYq+T2yXboOrqPRzMeoMjR37BZIqkfeJ9REZdiskYqnY00YrJCKdCiJOmKC62bp1ISekiTKYoIsLPIzJyLL6+KXJt/wxnsxVz8ODr5BfMwWyOJaHdHURGjkWrNaodTaikKedvKT6EEKesqmoHefmfU1z8M3Z7Gf7+6fTq+ZmciM5AiuLi8OGPOXDwVTQaA+0T7yYm5ir5W4smnb+bdLfLlClT6NOnD35+foSHh3PRRRexZ8+eRssUFhYyYcIEIiMj8fHxoWfPnnz99ddN3wshhMfw80slJflZBg5YQVq36VRV7WDv3mfUjiVOs5qa/WzcNJ69+54hMvIiMvovIi7ueik8RJM1qfhYunQpd955J2vWrOHXX3/FbrczatQoampq3Mtce+217Nmzh3nz5rFt2zYuueQSxo0bx+bNm097eCFE66LVmggLG0lCu9vJy/+MPXufxuWqVzuWOEWKopCd81/WrhuD3V5Oz56fk5L8jNzBIk7aKV12OXLkCOHh4SxdupTBgwcD4Ovry7Rp05gwYYJ7uZCQEF566SVuvvnmf1ynXHYRwvO5XHYOHXqPrENvkdrlNSIjx6odSZwku72CnbseoaRkIfHxN9M+8QF0OpPasUQr1GyXXf7MYrEAEBwc7H4uIyODL774grKyMlwuF59//jlWq5WhQ4cedx02m43KyspGP0IIz6bVGmjf/l78fFPJz/8Sp9OmdiRxEiort7Ju/YVUVGyge9oHdEyaLIWHOC1OuvhwuVzcd999DBgwgK5du7qf//LLL7Hb7YSEhGAymZg4cSJz584lKSnpuOuZMmUKAQEB7p+4uLiTjSSEaGXat7+PCst6Vqzsz4aNl1NXl6t2JHGCDh/+hA0bx2E0hnFWn+8JDR2mdiRxBjnp4uPOO+9k+/btfP75542e/9e//kVFRQW//fYbGzZs4IEHHmDcuHFs27btuOuZPHkyFovF/ZObKx9OQpwpQkOH0/esnwkM7IPFsomqqp1qRxInIOvQu+zZ+yQxMVfSq+dnmM0xakcSZ5iT6vNx11138d1337Fs2TISExPdzx84cICkpCS2b99Oamqq+/mRI0eSlJTE+++//4/rlj4fQpx5bLYiVqzMwGAIoXevL/D2TvznNwlVZB16l4MHXyMx8T7aJ96tdhzhQZqtz4eiKNx1113MnTuXRYsWNSo8AGpraxtWqm28Wp1Oh8vlasqmhBBnEJMpgp49PsVuLyUv/wu144i/cOjQ+1J4iBbRpOHV77zzTmbPns13332Hn58fhYWFAAQEBGA2m0lJSSEpKYmJEyfyyiuvEBISwrfffsuvv/7KDz/80Cw7IITwDIGBZ6HVemGxbMLlsqHVSsfF1sRqzefAwVdp1+42KTxEs2tSy8e0adOwWCwMHTqUqKgo988XXzR8kzEYDPz000+EhYUxZswY0tLS+N///sesWbM477zzmmUHhBCeQaPRkpL8HBbLRioqNjBp0iQGDRrEhAkTsNvt7uXq6uoYM2YMQ4YMYcSIERQVFQFw+PBhLrzwQoYNG8aTTz4JwFNPPUW3bt0YOnQoDz74oCr7dabIy/sMnc6bhHZ3qB1FtAEyvLoQosXY6ktYsaIvWVkaFvycSEJCN7766htiY2NZvHgxBoOBb775htWrV7N792727duH3W5n1apV3H333eTm5mIymaitrcVutzN27Fh69+7NBRdcwDnnnEPXrl155ZVX1N5Nj+J0WsnO+S/Z2dOJjr6M5E5PqR1JeKgWG+dDCCGawmgIoXPnl9i2zYKv30bmzp1FUFAQu3fvdt85l5SUxLZt29i1axcOh4Pa2lpee+01cnNzqa+vZ9OmTRw+fJhOnToBcMstt2A2m1m5ciVLlixRce88j8tVz9Ztt5Gd/R4xMVfQof1DakcSbYQUH0KIFqPRaIiOuowA/yvIPuRFRYUFq/UgNpuVWbNmAdCxY0cOHDhAVlYWBQUFuFwu1q1bx5YtW8jJyaFTp04UFxezadMm7rnnHtLT03G5XLhcLgYNGqTyHnqWAwdeobx8Dd3TPqBTxyfQ633VjiTaCCk+hBAtLjKyM/n5/pSVOdm9u5Lq6hoWLlyIxWJh1qxZhIWF4XK5qK2tpbi4mCVLlhAaGkppaSkbN27E6XSyf/9+nn32WbZs2UJ9fT21tbW88cYbREVFqb17HuFIyUJycmeQlDSJ4OABascRbYwUH0KIFpeRkUFWVhaK0vjW/FGjkqio2MT27ccOSlhUWIhWo2n03IwZM6iursbLy8v9nMFgaL7gZwirNZ+dOx8hNHQkcbHXqx1HtEFSfAghWlx6ejpOpxNoKBYSExtG0Ny6tZTOXX6lvr76mPeYtFqcfxovqKqqipqaGqxWq/u5w4cP08r60bcqLpeD7TvuQ6/zpkvnl9D8qaAToiVI8SGEUMXRFgqXy0VubsPttFarQkLCKLp3P3aq9nOHDD3uenr16tXoBKooCgcPHjz9gc8Qh/M+xmLZTGrXNzAYAtWOI9ooKT6EEKoICGgoMFwul/u2PI1GQ/e06ezbd+xH0w8rlqPXNx4XUavVsnXrVvfzGo0GvV7PqlWrmjm9Z7LVl3Dw4BvExFxJYEAvteOINkyKDyGEKsaPHw+A0+mkuroanU6HTqcDwMfHB2goLgICvAGw2WzuSzVHuVwu/Pz83O9TFAVFUejVS06sx3Ng/8toNHo6tL9f7SiijZPiQwihijfffNPdYlFfXw+Aw+EgKCiIL7/8EmgoLiyWhjmjunWLJi0tzf3+o60cw4cPb9Tnw2g00qVLl5baDY9hsWyhoPBrOnR4EIMhSO04oo1r0twuQghxOr355pv88MMPVFVV4evrS0JCAi6Xi/79+/Paa6/x7rvvEhgCxYW5xMRU8N//fkKvXlfQrl07XC4XpaWlzJ49myVLlhAcHIyXlxelpaVYLBb3ZR3R4MCBqfj6phATPV7tKEJIy4cQQj0ZGRmEhoayfPlyBg0axODBg5k+fToAXl5e3HfffWxYu58XXrgercZAeHhPkpOT+fnnn1m8eDGBgYHo9XqioqJISEjAaDSi1+tZtmyZynvWupSXr6G8Yg3tE+9Fo9GpHUcIafkQQqgnPT2diIgIBg0aRHx8PA899BATJ05k+vTpXHXVVYwfP545c+ZQU3OYu+4KQqfz5oUXXmDMmDHU19fz9NNPA5CZmQnAkiVL+OGHHxgzZoyau9WqKIrCwaw38fNNJTT0bLXjCAHIxHJCCA+wa+e/yc+fx+BBGzCY5DtTU5SVrWLzlgmkdZtOWNhIteOIM5hMLCeEOGO4XHbyCz/HzzyaqjKb2nE8Tl7+Z/j4dCI0dITaUYRwk+JDCNFqOZ1W1qw9B3ASFd+F4CgftSN5FIejhpKSRURGjJWRTEWrIsWHEKLV0moN+PgkAbB33zNU1+xTOZFnKS1djMtlJSLiPLWjCNGIFB9CiFZLo9HRPW06Ce3uAGDt2nM4fPhTlVN5jqLiH/H3S8Nsjlc7ihCNSPEhhGj1EhLu4qyzfsRsjqe0dInacTyCw1FNaekSwiPOVzuKEMeQ4kMI0erpdCb8fFMIDz+f8oq1OBw1akdq9aqqtuNy1RMSPFjtKEIcQ4oPIYTHMJkicDprsNvL1Y7S6lVX70GjMeLtnah2FCGOIcWHEMJjVFftBMDLK1rlJK1fbV0W3t7t0GoNakcR4hhSfAghPIbdUaF2BI/hsFdh0AeqHUOI45LiQwjhERTFRXn5avRyQj0hDmcVer2f2jGEOC4pPoQQHkKDVuuF0RiK1VqgdphWz+GoluJDtFpSfAghPIJGoyE4eCC1tfvZsPFSqqv3qB2pVXM569BqTWrHEOK4pPgQQniMLp2nMiBjOfX1R8jMvFntOK2a0RiKrb5Y7RhCHJcUH0IIj6HRaPDyisbLKwarrZCsrLexWvPVjtUqeZnjqKs7rHYMIY5Lig8hhMfp1vUdQkOHcTDrDbZtv0ftOK2S2RyH1ZqLorjUjiLEMaT4EEJ4HH//NLqn/YfIiLFUVm7m4ME3ZNTTP/E2J+By2bBa89SOIsQxpPgQQnisuLgbCArKIDvnv+zZ+6TacVoVf//uAFgsm1ROIsSxpPgQQngsf/9u9OzxMYkJd1Nc/BM1NfvVjtRqGI3BeHsnUWHZoHYUIY4hxYcQwuPFxl6DyRTFgYOvqx2lVQkM7EV5+Tq1YwhxDCk+hBAeT6/3JTCwD1WVW6mtzVI7TqsREjyY2tr91NYeUjuKEI1I8SGEOCPExU4AjYZt2+5UO0qrERIyBJ3Ol8LC79SOIkQjUnwIIc4Ifn6pxERfidWWL7eX/k6nMxMRfh4Fhd/IMRGtihQfQogzRkBgbxyOKkpKFqkdpdWIiroUq/UwFRXS90O0HlJ8CCHOGIEBvQkOGsjBg6+pHaXVCAjohdmcQF7+52pHEcJNig8hxBlDo9EQHTOe6po9MvPt7zQaDbExV1Nc/DM22xG14wgBSPEhhDjD+Pl2BqCycqvKSVqPqKhL0Wj05Od/oXYUIQApPoQQZxiDIRC93p9t2+9g167JOJ02tSOpzmAIIDxsNEXFP6gdRQhAig8hxBnGYAiiX79fSeowicKi79i79ym1I7UK4RHnUVOzj+rqvWpHEUKKDyHEmcdkDKVdu1sJDR1BecVateO0CiHBA9HpfCkunq92FCGk+BBCnJlcrnqOHPkNh6OKurpcSkuX4XK13UswWq2JsLCzKSr+EUVR1I4j2ji92gGEEKI5aLVGoiIvIr/gS1atHgqA0RiOVqPH7qgkIvw8UlKeQ6PRqRu0BUWEn09h4Vxqavbi65usdhzRhknxIYQ4Y6WkPIeffze0GgMmUwRFRT9QWbUNqy2f/IIvyS/4ErM5Hqu1EIMhgPTuH+Ln10Xt2M0mOHgAer0fxUd+keJDqEqKDyHEGUuj0REbc5X7cUjIYFwuO6Wli7FYtlBhWY+vTzI6vQ/5+V+wbv0YIiPGkpz8NHq9n4rJm4dWayQosB/l5ash8W6144g2TIoPIUSbotUaCAsbRVjYqEbPBwcPYsuW6yks+o7Cou/o03su/v5pKqVsPkFB/di3/yWcTis6nZfacUQbJR1OhRCChrtBBg5Y5X68fsPFWCybKSycx569T1FU9AMOR42KCU+PoKD+KEo9FssmtaOINkxaPoQQ4ncmUzjDh+0j69C7ZGW9wcZNV6AoDgAOH/7YvVznlCnU15dg8oomKvIildKeHB+fjhgMwZRXrCE4OEPtOKKNkuJDCCH+QKPR0j7xbsLCziY/73O8vRMJCurH+g2X4HJZAdi1e7J7eZMpguCg/mrFbTKNRktQYF8qymWWW6EeKT6EEOI4/HxTSE5+yv142NAdAFTX7OPQofdwuaxUVGxg8+Zr8PHpSE3NPrp1e4/wsNEqJT5xvr7J5B6WwdeEeqT4EEKIJvD16UjX1NcBUBQX+/a/QG7uTAC2bbuDQQPXodUaW/XdMmZzPHZ7GQ5HNXq9r9pxRBvUpA6nU6ZMoU+fPvj5+REeHs5FF13Enj17jllu9erVDB8+HB8fH/z9/Rk8eDB1dXWnLbQQQrQGGo2WTh2fYOiQHURFXgLA8hVnsXRZOrW1WSe1zkmTJhEXF0d4eDhXX301drsdgLq6Os477zxCQkIICgpi0KBBHDp0iKFDh2I2m/H398fPz49ff/2V3bt3Ex4ejp+fH5GRkbz88suNtmE2xwNQU7P/FPZeiJPXpJaPpUuXcuedd9KnTx8cDgePPfYYo0aNYufOnfj4+AANhcc555zD5MmTefvtt9Hr9WRmZqLVyo01Qogzk07nRZcuUzGaIsjOngbAxk1XERjYm/LyNQQGnoW1Lhc/v1QCA8/Cx6cDh/Nm4+fb+fdWiHL0en+WL/+YLVuyGTCgB126pLF9+17mzJnDlVdeyfz58/Hy8uLWW2+lS5cuzJs3j9mzZ7NkyRJ69+7NXXfdRXZ2NmeffTb33HMP3bt35/XXX+f1119n4MCBjfL6+qZgNIaTnfMf0rq9p8YhE21ck4qPn3/+udHjjz76iPDwcDZu3MjgwYMBuP/++7nnnnt49NFH3cslJ8tIekKIM19Sh4dI6vAQ+QVzKClZSHHxTwAcOdLw2VlVvYP8gi/dyxf86f1Ll1WiYKVdgpmw8E0UF1v4bt4uUlOXYqvPAuxUV1dTXl6OTqcjNDQUgOrqah588EH69etHWVkZXbp0YevWrdxyyy0cPHiQMWPGNNqOTmcmKPCsk26dEeJUnVKfD4vFAkBwcDAAxcXFrF27lquvvpqMjAwOHDhASkoKzz///DGV91E2mw2b7f8ne6qsrDyVSEIIobroqMuIjrqMurpcamr2U2fNJSxsFKUli9m95wlCQoYSHnYu3j6J1NVm43RZCQrsy6KFL2AyrcfHuxgfHy02m4vi4iyOlNQSEODiYFYh8+cvweUykJiYyAcffADATz/9xOWXX8748eN58sknuf/++3nppZcwmUz06dOHKVOmcNFFFzXKWFuXjbdPBxWOjhCnMMiYy+XivvvuY8CAAXTt2hWAgwcPAvDUU09xyy238PPPP9OzZ09GjBjBvn37jrueKVOmEBAQ4P6Ji4s72UhCCNGqmM1xhIYOIy72WrxMkcTEXMmI4QdI7z6D6OjLCAzoRVTUJcTGXIWPTwdiYnoRHNSDhISX6ZzyJRER/YmJTiMl+XlWrojEy6Th8nEBvPPOPSQnJ/Pss88CsHz5csaOHctll11GZmYmjz32GDNnzmT37t20a9cOi8WC1VqOw1FFRcUGcnI+xOmsxm4vV/kIibbqpFs+7rzzTrZv386KFSvcz7lcLgAmTpzIDTfcAECPHj1YuHAhH374IVOmTDlmPZMnT+aBBx5wP66srJQCRAjRJmVkZPDTTz/x22+/cfjwYUymEM477yZiYq4gNrac6Oi5BARsorLqU4qPWPAxGbBZbXzxxRe89tprLF++nKSkJGpqqtHr7WzJvIkjR77GYrGyclXvRtsyGSPw9U1RaU9FW3dSxcddd93FDz/8wLJly4iNjXU/HxUVBUCXLo1nhezcuTM5OTnHXZfJZMJkMp1MDCGEOKOkp6fTuXNnPvvsM37++WeGDx/OwoULWbJkCS+//DJff/01iz92UG8vIybawG0T17Jz50KWLl3Krbfeislk4pVXbmb1mgc577yvcToVtFoNL7wwkJSUO0BxUVq2guioywgNHab27oo2TKMoinKiCyuKwt13383cuXNZsmQJHTt2POb12NhYbrzxRndzIDS0fpx77rm88MIL/7iNyspKAgICsFgs+Pv7N2FXhBCibbDVl7B3z1MUH5nvfs5gCGHQwLVs2nwVFRUNo5d27PgEUZGXYDAEqBVVtCFNOX83qeXjzjvvZPbs2Xz33Xf4+flRWFgIQEBAAGazGY1Gw8MPP8yTTz5J9+7dSU9PZ9asWezevZs5c+ac/B4JIYRwMxlD6dbtHY4c+ZWt224DwG4vZdHiJPcyHTs+QXzcDWpFFOJvNanlQ6PRHPf5mTNncv3117sfv/jii7z77ruUlZXRvXt3Xn755b+82+XPpOVDCCGapqpqJ+vWN76dduiQbeh03iolEm1RU87fTSo+WoIUH0IIcXKczjpstiLM5jg0Gp3acUQb02yXXYQQQrReOp0Zb+8EtWMI8Y9kzHMhhBBCtCgpPoQQQgjRoqT4EEIIIUSLkuJDCCGEEC1Kig8hhBBCtCgpPoQQQgjRoqT4EEIIIUSLkuJDCCGEEC1Kig8hhBBCtCgpPoQQQgjRoqT4EEIIIUSLkuJDCCGEEC1Kig8hhBBCtKhWN6utoihAw9S8QgghhPAMR8/bR8/jf6fVFR9VVVUAxMXFqZxECCGEEE1VVVVFQEDA3y6jUU6kRGlBLpeL/Px8/Pz80Gg0Lb79yspK4uLiyM3Nxd/fv8W335rJsflrcmyOT47LX5Nj89fk2Bxfaz8uiqJQVVVFdHQ0Wu3f9+podS0fWq2W2NhYtWPg7+/fKv+4rYEcm78mx+b45Lj8NTk2f02OzfG15uPyTy0eR0mHUyGEEEK0KCk+hBBCCNGipPj4E5PJxJNPPonJZFI7Sqsjx+avybE5Pjkuf02OzV+TY3N8Z9JxaXUdToUQQghxZpOWDyGEEEK0KCk+hBBCCNGipPgQQgghRIuS4kMIIYQQLarNFh/PP/88GRkZeHt7ExgYeNxlcnJyOP/88/H29iY8PJyHH34Yh8PRaBmbzcbjjz9Ou3btMJlMJCQk8OGHH7bAHjSf03Vsjlq5ciV6vZ709PTmC91CTsex+eabbzj77LMJCwvD39+f/v37s2DBghbag+Zzuv6/WbJkCT179sRkMpGUlMRHH33U/OFb2KZNmzj77LMJDAwkJCSEW2+9lerq6kbLrF+/nhEjRhAYGEhQUBCjR48mMzNTpcQt40SOC8BHH31EWloaXl5ehIeHc+edd6qQtmWd6LEBKC0tJTY2Fo1GQ0VFRcsGPUFttvior6/n8ssv5/bbbz/u606nk/PPP5/6+npWrVrFrFmz+Oijj/j3v//daLlx48axcOFCZsyYwZ49e/jss89ITk5uiV1oNqfr2ABUVFRw7bXXMmLEiOaO3SJOx7FZtmwZZ599Nj/99BMbN25k2LBhjBkzhs2bN7fUbjSL03FssrKyOP/88xk2bBhbtmzhvvvu4+abbz4jirOj8vPzGTlyJElJSaxdu5aff/6ZHTt2cP3117uXqa6u5pxzziE+Pp61a9eyYsUK/Pz8GD16NHa7Xb3wzehEjgvAa6+9xuOPP86jjz7Kjh07+O233xg9erQ6oVvIiR6bo2666SbS0tJaNmRTKW3czJkzlYCAgGOe/+mnnxStVqsUFha6n5s2bZri7++v2Gw2RVEUZf78+UpAQIBSWlraUnFb1Kkcm6PGjx+vPPHEE8qTTz6pdO/evZkTt5zTcWz+qEuXLsrTTz/dHFFb3Kkcm0ceeURJTU1t9L7x48cro0ePbtbMLWn69OlKeHi44nQ63c9t3bpVAZR9+/YpiqIo69evVwAlJyfnL5c505zIcSkrK1PMZrPy22+/qRVTFSdybI567733lCFDhigLFy5UAKW8vLyF056YNtvy8U9Wr15Nt27diIiIcD83evRoKisr2bFjBwDz5s2jd+/evPzyy8TExNCpUyceeugh6urq1IrdIk7k2ADMnDmTgwcP8uSTT6oRUxUnemz+yOVyUVVVRXBwcEvFVMWJHJvVq1czcuTIRu8bPXo0q1evbtGszclms2E0GhtNvGU2mwFYsWIFAMnJyYSEhDBjxgzq6+upq6tjxowZdO7cmYSEBDViN7sTOS6//vorLpeLvLw8OnfuTGxsLOPGjSM3N1eVzC3lRI4NwM6dO3nmmWf43//+948Tu6mtdadTUWFhYaMPScD9uLCwEICDBw+yYsUKtm/fzty5c3njjTeYM2cOd9xxR4vnbUkncmz27dvHo48+yieffIJe3+rmL2w2J3Js/uyVV16hurqacePGNXs+NZ3IsfmrZSorK8+Yon748OEUFhYydepU6uvrKS8v59FHHwWgoKAAAD8/P5YsWcInn3yC2WzG19eXn3/+mfnz55+x/55O5LgcPHgQl8vFCy+84P68LSsr4+yzz6a+vl7N+M3qRI6NzWbjyiuvZOrUqcTHx6sZ94ScUcXHo48+ikaj+duf3bt3n7btuVwuNBoNn376KWeddRbnnXcer732GrNmzWp1H5QteWycTidXXXUVT/9fe3cT0lYWhgH4jVptrMQfkhppQFQsaKS4NGRRCK2lWBChiyKKkLoRulK6EFdZuLRQf7pUFIzS2EU3IgqGUsTiDymkNlhBVKSiiCgRCyp+s5h6MeMM1c7JieO8D2Rh7r0n53s5XL/k5hKfD3fv3lUyZjzpXjdn+f1++Hw+vH37Frdv347La/wbiczmv+aiWTmdTvT396OjowPp6emw2+0oKChAbm6u8W71x48feP78OdxuNz59+oSpqSmUlZWhqqrqyp1bfkVlLicnJzg6OkJnZycePXqEiooKDA0NYWlpCcFgMMGVXp7KbFpbW1FSUoK6uroEV3Ux16qFbmlp+ccv4JwqLCy80Fh2ux0zMzMxz21ubhrbACAvLw937tyJ+QnhkpISiAjW19dRXFx8idnHl85sotEo5ubmEAqF8OLFCwB/njREBCkpKRgfH4fH47l8EXGie92cGh4eRmNjIwKBwLlLDVeF7mzsdrvx3Nl9LBaL8THzVXWZrGpra1FbW4vNzU3cunULJpMJr169Mrb7/X6srKxgenra+Ofi9/uRnZ2N9+/f49mzZ3GtRSWVueTl5QEASktLjWNtNhusVivW1tbiU0AcqcxmcnIS4XAYIyMjAAD5+cspVqsVbW1t8Pl88SvkN1yr5sNms8FmsykZy+Vyob29HVtbW8Y70omJCVgsFmPhu91uBAIB7O/vIyMjAwDw7ds3JCUlweFwKJmHKjqzuXHjBsLhcMwxb968weTkJEZGRlBQUKBkHqroXjcAMDQ0BK/Xi+HhYVRVVSl57XjQnY3L5cLo6GjMcRMTE3C5XErmEE+/k9XpJabe3l7cvHkTDx8+BAAcHBwgKSkJJpPJ2Pf075OTE3WT1kBlLm63GwCwuLhonGN3dnawvb2N/Px8hbPWQ2U27969i/lUbHZ2Fl6vFx8/fkRRUZG6SauS4C+8Jszq6qqEQiHx+XySkZEhoVBIQqGQRKNRERE5Pj6WsrIyqayslM+fP8vY2JjYbDZpbW01xohGo+JwOOTp06eysLAgHz58kOLiYmlsbExUWUqoyOavrsvdLiqyGRwclJSUFOnp6ZGNjQ3jsbu7m6iylFCRzfLysqSnp8vLly8lEolIT0+PJCcny9jYWKLKiouuri6Zn5+XxcVF6e7uFrPZLK9fvza2RyIRSUtLk6amJvn69at8+fJF6urqJDMzU75//57AmcfXr3IREamurhan0ylTU1MSDoflyZMnUlpaKoeHhwmatR4XyeasYDB4pe92+d82Hw0NDQLg3CMYDBr7rKysyOPHj8VsNovVapWWlhY5OjqKGScSiciDBw/EbDaLw+GQ5uZmOTg40FyNWqqyOeu6NB8qsrl///7fjtHQ0KC/IIVUrZtgMCjl5eWSmpoqhYWF0tfXp7cQDerr6yUnJ0dSU1Pl3r17MjAwcG6f8fFxcbvdkpmZKdnZ2eLxeGR6ejoBs9XnIrns7e2J1+uVrKwsycnJkZqamphbkq+ri2Rz1lVvPkwiPy8MEREREWlwre52ISIioquPzQcRERFpxeaDiIiItGLzQURERFqx+SAiIiKt2HwQERGRVmw+iIiISCs2H0RERKQVmw8iIiLSis0HERERacXmg4iIiLRi80FERERa/QHZ55zKjhxzCwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if unitUse[u]  < 0.9:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "    if  unitUse[u]  > 1.1:\n",
    "        plotPoly(unitGeom[u],1.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "404935e6-f0de-4b51-9db9-020aa208f852",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops.  These should all be within single digits\n",
      "x = n surrounded, y= unit - vtd-based\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops.  These should all be within single digits\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "HDvPop = [0. for t in range(nHDs)]\n",
    "nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "        if u in surroundedVTDs:\n",
    "            nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += origVTDpop[v] #tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * origVTDpop[v] #tractPop[v] also works\n",
    "        \n",
    "plt.scatter([nSurrs[t] for t in popHDlist], [HDvPop[t] - HDvtdbasedPop[t] for t in popHDlist] )\n",
    "print(\"x = n surrounded, y= unit - vtd-based\")\n",
    "plt.show()\n",
    "plotThis = False\n",
    "for t in popHDlist:  #seems like for TN, we lost a vtd in converting from unit-based to vtd-based\n",
    "    if abs(HDvPop[t] - HDvtdbasedPop[t]) > 10:\n",
    "        plotThis = True\n",
    "        print(\"t, HDunit-based pop - pop from vtd-based HDs\",t,r3(HDvPop[t] - HDvtdbasedPop[t]) )\n",
    "        plotPoly(tractCP[t].buffer(0.1))\n",
    "if plotThis:\n",
    "    plotPoly(MAP)\n",
    "    print(\"Here are the HD centers with significant pop difference between unit-based and vtd-based HD lists\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef27af54-daf5-4e8f-9230-bce5b0b1e705",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "3ad3342b-b8e3-46f5-a3e5-f49df386b88f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\n",
      "Let's read in the 2020 and 2016 voting data for TX\n",
      "In year/election 2020 Dem and GOP total votes were 5259258 5890552 for a stateGOP of 0.52831\n",
      "There are a total of 9007  vote-mapped voting districts from election(s) in year  2020\n",
      "In year/election 2016 Dem and GOP total votes were 3877843 4684837 for a stateGOP of 0.54712\n",
      "There are a total of 9007  vote-mapped voting districts from election(s) in year  2016\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\")\n",
    "#note: we started w possibility of separate election --> 2020 vtd files by year.  Now we use ALARM combined 2016+2020 --> 2020 csv's for all exc CA\n",
    "# copied from \"HDpartisanAnalysis\"\n",
    "print(\"Let's read in the 2020 and 2016 voting data for\",STATE)\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G16PREDCLI\"], [\"G16PRERTRU\" ], list()\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G20PREDBID\", \"G16PREDCli\"], [\"G20PRERTRU\" ,\"G16PRERTru\" ], list()\n",
    "DemCandidates, RepCandidates, vestDFs = [\"pre_20_dem_bid\", \"pre_16_dem_cli\"], [\"pre_20_rep_tru\" ,\"pre_16_rep_tru\" ], list()\n",
    "nYears = 2\n",
    "unitIDs, vestReps,vestDems,yearLean = [list()]*nYears, [0]*nYears, [0]*nYears, [0.5]*nYears\n",
    "years = [str(2020),str(2016)]\n",
    "DemVotes, RepVotes = [list() for y in years], [list() for y in years]\n",
    "vestDir = \"./state_map_files/\" + STATE.lower()\n",
    "vestDF = pd.read_csv(vestDir + \"_2020_vtd.csv\")\n",
    "mergedDF = vestDF.copy() #pd.merge(mergedDF,vestDF, on = \"GEOID20\")\n",
    "for y,year in enumerate(years):\n",
    "    DemVotes[y], RepVotes[y], unitIDs[y] = mergedDF[DemCandidates[y]], mergedDF[RepCandidates[y]], vestDF[(\"GEOID20\")]\n",
    "    vestDems[y], vestReps[y] = np.sum(DemVotes[y]), np.sum(RepVotes[y])\n",
    "    yearLean[y] = vestReps[y]/float(vestDems[y]+vestReps[y])\n",
    "    print(\"In year/election\",year,\"Dem and GOP total votes were\",int(vestDems[y]),int(vestReps[y]),\"for a stateGOP of\",r5(yearLean[y]) )\n",
    "    nVTDs = len(DemVotes[y])\n",
    "    print(\"There are a total of\",nVTDs,\" vote-mapped voting districts from election(s) in year \",years[y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f628069d-4177-401e-bf49-b7f194d0ef8b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "5cf73783-4a48-4a3f-a2e3-c1b9ff32c859",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now let's read in our ensemble of HD districts for TX\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv TX9007patchedWithCutsVTDs.csv\n",
      "enter the number of HD-drawn districts in the state; e.g. 8 38\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This ensemble or enacted map describes 9008 drawn districts.  This state has 38 districts per map\n",
      "converting vtd list strings to vtd lists by drawn district ...\n",
      "the total weight across all rows should be 1.000, actually is 1.0\n",
      "I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\n",
      "translating from HD order of precinct rows to VEST order\n"
     ]
    }
   ],
   "source": [
    "print(\"Now let's read in our ensemble of HD districts for\",STATE)\n",
    "infilename = input(\"enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv\")\n",
    "\n",
    "HDdf = pd.read_csv(\"2024state_HD_output/\"+infilename)\n",
    "nRows = len(HDdf)\n",
    "nStateDistricts = int(input(\"enter the number of HD-drawn districts in the state; e.g. 8\"))\n",
    "print(\"This ensemble or enacted map describes\",nRows,\"drawn districts.  This state has\",nStateDistricts,\"districts per map\")\n",
    "\n",
    "HDvPop = HDdf[\"HDvPop\"].to_list()\n",
    "HDweight = HDdf['HDweight'].to_list()\n",
    "#tractPop = HDdf['tractPop'].to_list()\n",
    "#statePop = np.sum(tractPop)\n",
    "tractCPx = HDdf['centroid x'].to_list()\n",
    "tractCPy = HDdf['centroid y'].to_list()\n",
    "HDvtdListString = HDdf[\"HDvtdList\"]\n",
    "print(\"converting vtd list strings to vtd lists by drawn district ...\")\n",
    "HDvtdList = [list() for t in range(nRows) ]\n",
    "for t in range(nRows):\n",
    "    if HDvtdListString[t] != \"[]\":\n",
    "        HDvtdList[t] = ast.literal_eval(HDvtdListString[t])\n",
    "\n",
    "if \"partials\" in HDdf.columns.values: #\"splitTractNo\" #.to_list():\n",
    "    splitTractList, splitTractUseList = HDdf['partials'], HDdf['HDvtdFrac']\n",
    "    splitTractNo = [ast.literal_eval(splitTractList[t])    for t in range(nRows)]\n",
    "    splitTractUse = [ast.literal_eval(splitTractUseList[t]) for t in range(nRows)]\n",
    "else :  #incoming file didn't use any partial units, only whole ones\n",
    "    splitTractNo, splitTractUse = [[] for t in range(nRows)] , [ [] for t in range(nRows)]\n",
    "\n",
    "print(\"the total weight across all rows should be 1.000, actually is\",r5(np.sum(HDweight)) )\n",
    "print(\"I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\")\n",
    "censusGEOID20 = [ str( tractPopFile['GEOID20'][i]) for i in range(len(tractPopFile['GEOID20'])) ] #force strings to match\n",
    "miniHDdf = pd.DataFrame( {\"GEOID20\":censusGEOID20} )\n",
    "vestNo = [v for v in range(nVTDs)]\n",
    "print(\"translating from HD order of precinct rows to VEST order\")\n",
    "mergedGEO = [str(mergedDF['GEOID20'][i]) for i in range(len(mergedDF['GEOID20'])) ]  #force strings to match\n",
    "miniVestDF = pd.DataFrame( {\"GEOID20\":mergedGEO, \"vestNo\":vestNo} )\n",
    "mappingDF = pd.merge(miniHDdf,miniVestDF,on=\"GEOID20\")\n",
    "vestID = mappingDF['vestNo']  #this maps each named unit in a HDVL to the correct vestNo row with voting data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "540c6d1d-7728-48bf-90f0-f124b25ac7c2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sanity check - Dem-leaning vtds for year 2020\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"sanity check - Dem-leaning vtds for year\",years[0])  #for MA, do GOP-leaning.  Other states, use Dem-leaning\n",
    "for v in range(nVTDs):\n",
    "    plotPoly(vtdGeom[v],0.2)\n",
    "    if DemVotes[0][vestID[v]] > RepVotes[0][vestID[v]]:\n",
    "        plt.text(vtdGeom[v].centroid.x, vtdGeom[v].centroid.y, \"D\", color = \"blue\",fontsize=6)\n",
    "        #plotCenter(\"d\",vtdGeom[v],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "56ed7e9d-1400-4848-892e-737555552d58",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\n",
      "working on drawn district no 0\n",
      "working on drawn district no 1000\n",
      "working on drawn district no 2000\n",
      "working on drawn district no 3000\n",
      "working on drawn district no 4000\n",
      "working on drawn district no 5000\n",
      "working on drawn district no 6000\n",
      "working on drawn district no 7000\n",
      "working on drawn district no 8000\n",
      "working on drawn district no 9000\n",
      "here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\n",
      "true 2020: 5259258 5890552 631293\n",
      "ensemble : 5247022 5903136 656114\n",
      "the true and ensemble state GOP leans are 0.52831 0.5294217617854551\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\")\n",
    "nDrawnDistricts = len(HDweight)  #now including cut districts\n",
    "nMapDistricts = nCutDistricts + nDistricts\n",
    "nEnsembleDems, nEnsembleReps = [0.]*nYears, [0.]*nYears\n",
    "y=0\n",
    "for t in range(nDrawnDistricts):\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on drawn district no\",t)\n",
    "    nEnsembleDems[y] += nMapDistricts* HDweight[t] * ( np.sum([DemVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([DemVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "    nEnsembleReps[y] += nMapDistricts* HDweight[t] * ( np.sum([RepVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([RepVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "\n",
    "print(\"here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\")\n",
    "print(\"true 2020:\",int(vestDems[y]),int(vestReps[y]),              int(vestReps[y] - vestDems[y]) )\n",
    "print(\"ensemble :\",int(nEnsembleDems[y]),int(nEnsembleReps[y]),    int(nEnsembleReps[y] - nEnsembleDems[y]) )\n",
    "print(\"the true and ensemble state GOP leans are\",r5(vestReps[y]/(vestReps[y]+vestDems[y])),\n",
    "      nEnsembleReps[y]/(nEnsembleReps[y]+nEnsembleDems[y]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "5c607c63-df0d-4334-8131-368c090c76d2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total drawn districts, HD-drawn, map districts 1967 1965 9\n"
     ]
    }
   ],
   "source": [
    "print(\"total drawn districts, HD-drawn, map districts\",nDrawnDistricts,nHDs, nMapDistricts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb0d0d12-6bf4-4d5f-9236-fa8735393e98",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
